Specification for the book of courses - University of Niš · PDF filework) 1 2 3 4 5 Lectures Exercises ... Specification for the book of courses Lectures; ... Discrete-time MPC

4 Course status (obligatory/elective) elective PrerequisitesCourse objectivesCourse outcomes

Theoretical teaching

Practical teaching (exercises, OFE, study and research work)

1

2

345

Lectures Exercises OFE Study and research work Other classes

2 1Teaching methods

points Final exam points

10 written exam 2010 oral exam 202020

Pre-exam dutiesGrade (maximum number of points 100)

Number of ECTS

Knowledge of control of large-scale dynamical systems with centralized and decentralized information and control structure.

Gaining knowledge of the control of large-scale systems, multivariable systems, centralized and decentralized systems.

Course outline

Automatic control systems with centralized information and control structure. Multivariable control systems. The generalization of the classical methods for the synthesis of a multivariable automatic control systems. Robustness of multivariable systems. Linear quadratic and linear Gaussian quadratic controller. Robustness of control systems with linear quadratic regulator. Automatic control systems with decentralized information and control structure. Control of large-scale dynamical systems with decentralized information and control structure. Robustness of large-scale dynamical systems with decentralized information and control structure. Generalization and application of the results of the robustness of decentralized systems. Application. Modern concepts in the design of control systems of technological processes. The power system control.

Specification for the book of courses

Lectures; Auditory exercises; Computer exercises; Consultations

Textbooks/referencesDj. Petkovski, "Modern methods of automatic control of large-scale systems: Theory and applications", Privredni pregled, Belgrade, 1983.

Number of classes of active education per week during semester/trimester/year

S. Skogestad, I. Postlethwaite, ”Multivariable Feedback Control: Analysis and Design”, John Wiley & Sons, 2001.

Control Systems

Antić S. Dragan, Mitić B. DarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercisescolloquiaprojects

Perić Lj. Staniša

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Large-scale System Control

Study program

ModuleType and level of studiesThe name of the course

4 Course status (obligatory/elective) electivePrerequisitesCourse objectivesCourse outcomes



1

2

345


2 1Teaching methods



Automatic controlMaster studies (MSc)Predictive Control

Study programModuleType and level of studiesThe name of the course



Nikolić S. Saša


Lectures; Auditory exercises; Laboratory exercises

Textbooks/referencesWang L., Model Predicitive Control Systems Design and Implementation Using MATLAB, Springer, 2009.


Rawlings B. R., Mayne D.Q., Model Predicitive Control: Theory and Design, Nob Hill Publishing, 2009

Control Systems


Number of ECTS

Knowledge of system modeling which is appropriate for MPC apllication. Skills to identify control problem and to design and implement corresponding MPC regulators.

Discrete-time MPC. Introduction to model predictive control (MPC). Conputation of optimal control by parameters tuning. Implementation of receding horizon. Observer design. Constrained control problems. Quadratic programming. Simulation of predictive system with/without observer. Continuous-time system modeling using Laguerre functions. Continuous-time systems modeling using Kaitz functions. Constrained systems modeling. Basis for the design of continuous-time MPC system. Closed-loop simulation of MPC system. Nyquist plot of the predictive control system. Implementation of predictive control systems.

The aim of the course is to provide fundamental knowledge of theory and design of model predictive control (MPC) and regulator design.

Course outline

Introduction to model predictive control (MPC). Models and modeling. Linear dynamic models. Input-output models. Discrete models. Constraints. Linear quadratic regulator. Optimizing multistage function. Dynamic programming. Controllability. State estimation. Linear systems and normal distribution. Discrete-time MPC. State-space models with embedded integrator. Predictive control within one optimization window. Receding control control. Predictive control of MIMO systems. State estimation predictive control. Discrete-time MPC with constraints. Discrete-time MPC Using Laguerre Functions (DMPC). Continuous-time MPC. Model structures for CMPC design. MPC using finite prediction horizon. Optimal control strategy. Continuous-time MPC with constraints. Formulating of constraints. Numerical solutions for the constrained control problem. Real-time implementation of continuous-time MPC. MPC systems in state space formulation.

4 Course status (obligatory/elective) electivePrerequisites

Course objectives

Course outcomes



12345


2 1Teaching methods


10 written exam0 oral exam 400

50


Number of ECTS

Understanding of manufacturing technologies, their advantages and disadvantages. Ability to track trends in modern production systems. Development of own production techniques and quality control in flexible manufacturing systems.

Introduction to the production systems and their comparison. Cellular manufacturing systems and their applications. The application of Computer Integrated Manufacturing - CIM, advantages and disadvantages.

Course outline

Introduction to industrial production. What are production lines, methods of production, continuous production, flexible manufacturing systems. Types of flexibility and flexible manufacturing systems. Management of flexible manufacturing systems. Detailed example of a flexible manufacturing system. Production process and reduction of waste. Review on the quality system. Quality assurance and control, tolerance. Standard components, what are they and why use them in the development and manufacture. Complexes of standard components. Development of existing products. Packing, function of packing, packaging materials.


Lectures, board exercises, individual student homework and project, student final papers presentation and discussion.

Textbooks/referencesLecture notes and slides (to be posted on the web page of the Faculty)


Scientific and technical papers in accordance with student’s needs.

Control Systems

Đorđević S. GoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Todorović Z. Darko

Automatic ControlMaster studies (MSc)Flexible Production Systems





1

2345


2 2Teaching methods


10 written exam 30oral exam 20

40


Number of ECTS

Acquiring theoretic knowledge and practical skills; Handling of mathematical methods and applying in problems solution.

exercises

Acceptance of basic knowledges necessary for implementing programs for interactive modeling of free form curves and for fractal modeling

Course outlineElements of convex analysis. Optimization problems. Linear programming. Simplex method. Duality method. Unconstrained nonlinear programming. Gradient methods. Conjugate directions methods. Constrained nonlinear programming. Penalty function method. Flexible tolerance method. Elements of Game theory. Optimal strategies. Elements of dynamic programming. Networking algorithms.


lecturing using blackboard, practical exercises

Textbooks/referencesLj. M. Kocić, G. V. Milovanović, S. Marinković, Operational researches,Univ. Nis, Faculty of Electronic Engineering, 2007.


Lj. M. Kocić, Functions of manz variables, Univ. Niš, Faculty of electronic engineering, 2008.

Control Systems

Kocić M. Ljubiša, Marinković D. SlađanaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Kocić M. Ljubiša, Marinković D. Slađana

Automatic ControlMaster studies (MSc)Operational Research



Course objectivesCourse outcomes



1

2345


2 1 1Teaching methods



30

Stančić Z. Goran


Number of ECTS

Theoretical and practical knowledge of the methods for the design of adaptive filters. Mastering the techniques of nonrecursive adaptive filters design.

Least-squares approximation calculations in Matlab for analog signals. Least-squares approximation calculations in Matlab for digital signals.Orthogonality. The discrete Fourier series. Correlation. Covariance. Realization of linear predictor, system identification, channel equalization and interference canceling in Matlab.

Acquiring basic knowledge of adaptive digital signal processing. Introduction to the methods of practical implementation of the adaptive filter transfer function. Introduction to basic Matlab commands for analyzing and processing of digital signals.

Course outlineLeast-squares approximation. Correlation. Discrete Fourier transform. Random signals. Spectral estimation. Power density spectrum. Signal energy. Properties of the power spectrum. Power spectral estimation. Wiener filter. Kalman filter. Least-squares system design. Linear predictor realization. System identification. Channel equalization. Interference canceling. Adaptive notch filters. МSE function. Covariance. Convergence time constants. Ideal condition convergence. Steepest-descent algorithm. LMS algorithm. Modified LMS algorithms. RLS algorithm. Measures of adaptive system performance. Learning curve.


Lectures, auditory exercises, laboratory exercises, consultation

Textbooks/references

Amuel D. Stearns, Digital signal processing with examples in Matlab, CRC Press Washington, 2003.


Cowan N and Grant P., Adaptive filter,s Prentice-Hall Englewood Cliffs New Jersey, 1985.Simon Haykin, Adaptive filter theor,y Prentice Hall, Englwood Cliffs. New Jersey, 1986.

Control Systems

Pavlović D. Vlastimir Lecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stančić Z. Goran

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Adaptive Signal Processing

Study program





1

2345


2 1Teaching methods


written exam 20oral exam 40

40


Number of ECTS

Practical classes are held in the available development systems.

The main objective is adoption of hardware design techniques of embedded systems

Course outline

Embedded processing. Characteristics of embedded computers. Specifications, requirements, models of computation, language characteristics. Embedded system hardware, input, communication, processing units, memory, output. Embedded operating systems, execution planning, prediction of execution time, Midleware. Implementation of Embedded systems, hardware / software codesign, Concurrent management at tasks level, compiler for embedded systems. Reducing power consumption, dynamic power management. SoC design. SoC architecture, accelerator processor. Complex SoC architecture. Application-specific and configurable processors. multiprocessor SoC's. Validation, simulation, emulation and prototyping, testing, fault simulation, fault injection, formal verification.

Student is expected to design hardware and software of embedded systems, taking into account their specificities




Control Systems

Tokić I. TeufikLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercisescolloquia

Lectures, auditive excercises, lab practicing,homework on the available development tools

Stuart R. Ball, Embedded Microprocessor Systems - Real World Design, Elsevier Science, 3th Ed, 2002

projects

Vojinović M. Oliver

Embedded Systems

Study program


Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)

Peter Marwedel, Embedded system design, Spinger, 2006

4 Course status (obligatory/elective) electivePrerequisitesCourse objectives

Course outcomes



1

2

Lectures Exercises OFE Study and research work Other classes2 1

Teaching methods

points Final exam points10 written exam10 oral exam 40

40

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Project Management and Organization

Study program


Milentijević Z. IvanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Vojinović M. Oliver


Lectures, auditive excercises, homework, team projects.


James Taylor: Managing Information Technology Projects: Applying Project Management Strategies to Software, Hardware, and Integration Initiatives, American Management Association, USA, 2004.


A Guide to the Project Management Body of Knowledge: PMBOK(R) Guide, 5th edition, PMI, USA, 2013.

Control Systems


Number of ECTS

At the end of the course students will have experience working within the project team during the planning of the project, they will understand problems of the organization of the project team, interaction with users, schedules and budgets, risk management.

Team project organization.

To familiarize students with basic principles of the organization of the project. To provide practical experience in planning, monitoring and managing the project.

Course outlineManagement - features and functions. Management challenges in technology and engineering. Skills for managers. Project life cycle, product life cycle. Project management in the context of the organization. Project management processes, standards, process groups, interactions in the process, the main process documents. Organizing project team. Establishment of the project. Management of engineering design, cost estimation of the project. Project scope management. Schedule management. Change management. Quality management, quality planning, assurance of quality, quality control. Quality standards and their impact on management. Human Resource Management; human resource planning, setting up, developing and managing the project team. Communication management in the project communications planning, information distribution, internal and external reporting, collaboration and teamwork. Risk management, risk management planning, risk identification, qualitative and quantitative risk analysis, risk response planning, monitoring and control of risk. Procurement management. Contracts and contracting. Technical support and maintenance. Trends in project management.


Course outcomes



12345


2 1Teaching methods



50


Number of ECTS

Understanding the motivations for the design of machines based on the principles of artificial intelligence from the viewpoint of perception, cognition and performance. Organization of intelligent machines, especially mobile robots.

The principles of operation and design of systems that have the intelligence to communicate with the environment, especially with a man.

Course outline

Definitions of intelligent systems and subsystems. Definition of mechanical intelligence. Intelligence in decision-making. Differences between natural systems and machines. Movement and manipulation as the basis for the development of intelligence. Design principle of functional imitation of existing natural solutions. Biomimetics. Functional robustness of mechanical solutions for sake of control simplicity. Intelligent drive as a functional copy of the natural techniques of motion. Actuators with integrated sensors and controllers as the simplest way of control. Methods and techniques of modeling by interactions. Parametric and non-parametric models. Design of controller with the integrated model. Examples of intelligent machines, with an emphasis on walking, grasping, momentum and collision.


Multimedia lectures. Auditory exercise and demonstration.

Textbooks/referencesLecture notes and slides (to be posted on the web page of the Faculty)


Scientific and technical papers in accordance with student’s needs.

Control Systems



Todorović Z. Darko

Automatic ControlMaster studies (MSc)Intelligent Machines



Course outcomes



1

2

3

45


2 1Teaching methods



Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Methods of Digital Control and Estimation

Study program


Veselić R. BobanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Veselić R. Boban


Lectures; Auditory and computer exercises; Consultations.

Textbooks/referencesCharles L. Phillips, H. Troy Nagle, Digital Control System Analysis and Design, Third Edition, Prentice Hall, 1994.


М. Stojić, Digital control systems, Akademska misao, Beograd, 2004 (in Serbian).

Gene F. Franklin, J. David Powell, Michael L. Workman, Digital Control of Dynamic Systems, Third Edition, Addison-Wesley, 1997.

Katsuhito Ogata, Discrete-Time Control Systems, Second Edition, Prentice-Hall International, 1995.

Control Systems


Number of ECTS

Provide the students with theoretical and practical knowledge needed for the application of modern digital control techniques. Train the students to use computer support in design and simulation of digital control systems.

Elaboration of methodical units of the lectures through examples with intensive use of MATLAB Control Toolbox as a substantial support in design, simulation and validation of digital control systems.

Introduce to students some modern approaches to digital control and control plant state estimation.

Course outline

Review of the mathematical background and digital systems analysis in z-domain. Linear digital systems frequency response. Bilinear transformation. Bode plots. Digital compensators design in z- and frequency domain. State space approach. Controllability and observability. Canonical state space forms. State feedback control and pole placement method. Ackerman formula. Deadbeat response. State variables estimation. Linear digital state observers and their design. Elements of the theory of stochastic processes. State estimation in uncertain control systems. Kalman filter.


Course outcomes



12345


2 1Teaching methods




Number of ECTS

Provide the students with theoretical and practical knowledge necessary for robust control systems design depending on present model uncertainties and given system specifications. Train the students to use computer support in analysis and synthesis of robust control systems.

Elaboration of the methodical units of the lectures through exercises on various examples with intensive use of MATLAB Robust Control Toolbox as a substantial support in robust control systems analysis and synthesis.

Introduction to the problems of model uncertainties and modeling errors, robust stability principles as well as control systems design methods for providing robust performances.

Course outline

Model uncertainties of linear dynamical systems and their representation in time and frequency domain. H2 and H∞ spaces and norms. Specifications of performances and limitations. Control plant model reduction. Model uncertainties and robustness. Robust stability and performance analysis. Linear fractional transformation. Structured singular value. Controller parameterization. Algebraic Riccati equation. H2 и H∞ control. Controller order reduction. H∞ loop-shaping.


Lectures; Auditory and computer exercises; Consultations.

Textbooks/referencesK. Zhou, J. Doyle, Essentials of Robust Control, Prentice-Hall, 1998


S. Skogestad, I. Postlethwaite, Multivariable Feedback Control, John Wiley & Sons,1996.

Control Systems

Veselić R. BobanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Saša

Automatic ControlMaster studies (MSc)Robust Control



Course outcomes



12

3

4

5


2 1Teaching methods




Number of ECTS

Theoretical and practical knowledge in basics of hydraulics and pneumatics, modeling of hydraulic and pneumatic systems, as well as analysis of hydraulic and pneumatic control systems.

Gaining knowledge in basics of hydraulics and pneumatics. Analysis and design of hydraulic and pneumatic control systems.

Course outline

Hydraulic drive. Hydraulic actuators, pumps and motors. Hydraulic control elements. Elements of the data transfer. Electro-hydraulic servo valves and electrohydraulic servomechanisms. Control concepts for hydraulic control systems. Methods for the analysis of electrohydraulic control systems. Nonlinearities in the hydraulic control system. Analysis of specific cases. Features of the air. Providing pressure, transmission and control. Pneumatic valves, compressors, pneumatic cylinders and motors, pneumatic drive. Pneumatic control techniques. Fluid logic. Fluid amplifiers.


Lectures, Auditory Exercises, Computer Exercises; Consultations

Textbooks/referencesH. Marrit, Hydraulic control systems, Prentice Hall International, 1989.


Z. Ribar, Pneumoelectrical control systems, Faculty of Mechanical Engineering Belgrade, 1997. (in Serbian)

R. B. Walters, Hydraulic and electro-hydraulic systems, Elsevier Applied Science, New York, 1991.

J. Watton, Fluid power systems – modeling, simulation, analog and microcomputer control, Prentice Hall International, Hertfordshire, 1989.

Control systems

Nikolić D. VlastimirLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Perić Lj. Staniša

Automatic controlMaster studies (MSc)Hydraulic and Pneumatic Control Systems





1

2

3

45





1035

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Electromedical Instrumentation

Study program


Arsić Z. Miodrag, Radenković N. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Đorđević-Kozarov R. Jelena


Lectures, Auditory exercises; Consultations


"Dragan Radenković, Aca Micić, “Elektromedicinska instrumentacija”, Elektronski fakultet, Niš, 2007.


David Prutchi, Micahel Norris, “Design and Development of Medical Electronic Instrumentation”, JOHN WILEY & SONS, New Jersey 2005.

D.Jennings, A.Flint, B.C.H.Turton and L.D.M.Nokes, “Introduction to Medical Electronics Application”, EDWARD ARNOLD, London 1995.

Control Systems

Stojković S. Ivana


Number of ECTS

Theoretical knowledge; knowledge of working principle and structure of the relevant electromedical devices.

Mastering the basic knowledge necessary to understand the functioning of the relevant electromedical instruments.

Course outline

Cell as a source of the bioelectric potential. Electrodes for biopotential measuring. Instruments for recording EMG, ECG and EEG signals. Devices for electrostimulation and electrotherapy. Pacemakers and defibrillators. Instruments for the formation of medical image based on electromagnetic radiation and nuclear magnetic resonance. Other electromedical instrumentation.


Course objectives

Course outcomes

Theoretical teachingPractical teaching (exercises, OFE, study and research

1

2

345





Đošić M. Sandra


Number of ECTS

Students are expected to learn: fundamental knowledge about the system for supervision and control of industrial processes and about the elements of the system, the possibilities of functioning of these systems, designing of various systems for supervision and control of industrial processes. Acquired knowledge from this course together with the knowledge of programming algorithms are enough for designing and programming the system for supervision and control of industrial processes.

Exercises: students through the process of tasks solving define theoretical knowledge and learn the systematic approach to analysis and designing systems for supervision and control of industrial processes. Labs: Identifying the functionality and programming and development the basic programmable elements of the system for supervision and control of industrial processes (programmable controller, programmable logic controller, data archiver, I / O panel, industrial PC). Interconnection - communication between system elements.

Acquiring knowledge about the most commonly used systems for supervision and control of industrial processes. Learning the functionality of all elements in the system for industrial process supervision and control. Learning how to connect the parts into the system and how to connect system with the environment. Gain knowledge about the possibilities of programming systems - elements of the system. The ways of interaction between human and the system for supervision and control of industrial processes. Consider the possibility of integration the system for supervision and control of industrial processes into the extensive information system. Acquire basic knowledge about the limitations of the system for supervision and control of industrial processes's applications.

Course outlineTypes and architectures of industrial control-monitoring system. Controllers: relay, electronic, computer and microprocessor devices. Industrial programmable controllers (PLCs, PACs): architectures, logic elements and standard features. The development environment for PLC and PAC. HMI realization. Industrial PC. Automation and visualization. Microcomputer systems for real-time control. Highly responsible systems. Industrial communication networks: topology, transmission media, removable media access methods. Network standards. Communications protocols: Ethernet, TCP / IP, Profibus. Standards of communication channels physical layer. Optical transmission systems. OPC standards and specifications.


Lectures, exercises, laboratory exercises, consultations.

Textbooks/referencesЈевтић, М. СИСТЕМИ ЗА УПРАВЉАЊЕ И НАДЗОР У ИНДУСТРИЈИ, скрипта и ppt презентације предавања (у припреми за јавно објављивање).


Litovski, V., Damnjanović, M., Jevtić, M., и други, "PRAKTIKUM LABORATORIJSKIH VEŽBANJA IZ PROJEKTOVANJA I TESTIRANJA ELEKTRONSKIH KOLA I SISTEMA", Elektronski fakultet u Nišu, 2000. (Допуне лабораторијског практикума за недостајуће лабораторијске вежбе за Системе за управљање и надзор у индустрији.)

Control Systems

Jevtić S. MilunLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Đošić M. Sandra

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Systems for Industrial Process Supervision and Control

Study program





1

234

5


2 2Teaching methods




Number of ECTS

Gaining competence in designing of reliable electronic devices using hardware and software tools.

Working with tools and equipment for designing in the laboratory. Project development. The knowledge gained in lectures students deepen through practicing design techniques as well as the use of tools for electronic device evaluation. Students also apply acquired knowledge through the independent projects (development of the electronic device) by using 32-bit microcontroller - MBED development prototyp board.

Adoption and systematization of knowledge related to the design of secure electronic devices.

Course outline

Principles of systematic design of modern computer-based devices. Methodology for hardware/software codesign. Object-oriented approach in designing microcomputer systems. Development tools and designing equipment. Operating systems for electronic devices. Programmability of electronic devices. Designing reliable electronic devices. Designing failure detection and fault tolerant systems. Redundancy in hardware, software, data and time. Techniques for failure testing and diagnostics. Built-in on-line selftesting. Designing devices for work in hazardous conditions - self-secured devices. Particularities of designing highly reliable real-time systems with rigid restrictions. Electromagnetic compatibility of electronic devices.


Lectures with the use of projector, Auditive exercises, Laboratory exercises on the copmuters and MBED development board, Consultations, Individual projects

Textbooks/referencesМ. Јевтић, Пројектовање поузданих микрорачунарских система , Монографија, Електронски факултет у Нишу, 2004.


V. Litovski, M. Damnjanovic, M. Jevtic, D. Milovanovic, P. Petkovic и други, Praktikum laboratorijskih vežbanja iz projektovanja i testiranja elektronskih kola i sistema , Elektronski fakultet u Nišu, 2000.

www.mbed.org

Q. Li, C. Yao, Real-Time Concepts for Embedded Systems , CMP Books, 2003.М. Јевтић, Скрипта и ppt презентација предавања.

Control Systems

Jevtić S. MilunLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Jovanović B. Bojan

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Design of Electronic Equipment

Study program


Computer Systems for Measurements and Control


Course objectives

Course outcomes



1

2

3

45


2 2Teaching methods



0


Number of ECTS

Student will be abble to decide whether to use virtual instruments, centralized or distributed measurement systems to solve project task, which components should be used and to recognize potential problems which could occur in practice.

Preparation of project tasks and seminar papers in the field of theoretical lectures.

The aim of the subject is to allow students to introduce with hardware and software of systems for measurement and control, to learn all techniques of connection of single components into complex system, considering the influence of the applied techniques on the measurement accuracy.

Course outline

Measurement of non-electrical quantities. Connection of sensors, measurement transducers and actuators with computer. Hardware structure of computer-based measurement systems. Standard interface systems for measurement techniques. SCADA systems. Distributed measurement systems. Components of distributed systems. Inteligent measurement transducers. Hardware and software techniques of compensation of measurement results. Inteligent sensors in cars. Electrical isolation in measurement systems. Protocols of industrial networks. Protocols for inteligent sensors in cars. Wireless sensor networks. Virtual instrumentation and virtual laboratories. Examples of practical implementation of computer-based measurement systems. Real-time work. Software design. Internet connection. Calibration of computer-based measurement devices and systems. Automatic test systems. Measurement systems for car testing.

Milenković V. Vladeta


Lectures with the use of modern presentation techniques and devices, discussion of , student's solutions of the given tasks, consultations, computational exercises.

Textbooks/referencesD. Denić, I. Randjelović, D. Živanović „Računarski merno-informacioni sistemi u industriji“, Faculty of electronic engineering Niš and WUS, script, 2005.


National Insturments, "Measurement and Automation Catalog", National Instruments CatalogLang, T.T., "Computerized Instrumentation", John Wiley & Sons, 1990.

Burns, M.,Roberts,G.W.,"Mixed-Signal IC Test and Measurement",Oxford Univ. Press,New York, 2001.

Drndarević V. "Akvizicija mernih podataka pomoću računara", Institut za nuklearne nauke Vinča 1999.

The name of the courseArsić Z. Miodrag, Živanović B. DraganLecturer (for lectures)

Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Computer Control Systems and Measurement Techniques Master studies (MSc)

Study programModuleType and level of studies

Control Systems


Course objectives

Course outcomes



1

2

3

45





030

Computer Control Systems and Measurement TechniquesMaster studies (MSc)Design of Microcomputer Measuring Instruments


Arsić Z. Miodrag, Živanović B. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Pešić T. Miroljub



Textbooks/referencesM.A.Mazidi, J.G.MAzidi,R.D.McKinlay," The 8051 Microcontroller and Embedded systems", Pearson Education, 2006, ISBN-0-13-197089-5


Barney, G.C., “Intelligent Instrumentation”, Prentice Hall, New York, 1998.

Drndarević, V., "Akvizicija mernih podataka pomoću računara", Institut za nuklearne nauke Vinča, 1999.

Ball, S.R., "Embedded Microporcessor System: real word design", Butterwort-Heinmann, Melburne New Delhi, 2000.

Control Systems

Pešić T. Miroljub


Number of ECTS

The ability of students to understand working principles of instruments based on microcontrollers and to design them according to the required project task and metrological characteristics.


Learning how to use microcomputer as a part of a measurement instrument. Introduction with hardware-software structure of particular instruments. Understanding of working principles of analog and digital electronic circuits in instruments. Understanding influences of different ways of realization of some measurement functions on measurement accuracy.

Course outline

Architecture of microprocessors, microcomputers and DSP. Input-output devices. Analog circuits of measurement instruments. Analog to digital conversion in measurement instruments. Measurement of time and frequency in microcomputer devices. Designing of hardware of microcomputer devices. Examples of practical implementations of microcomputer instruments. Real time work. Software designing. Virtual instruments. Testing in the phase of development of microcomputer devices.


Course objectives

Course outcomes



1

2

3

45


2 1Teaching methods




Number of ECTS

At the end of the course students will be able to: model the dynamics of vehicle subsystems and provide fundamental recommendation to design and improve the function of the subsystems based on computer simulation; develop a model for vehicle lateral and longitudinal dynamics, as well as vehicle ride behaviour; apply fundamental simulation techniques to analyze vehicle dynamic behaviuor including validation.

Introduction to the Matlab software environment related to automotive industry. Modelling and simulation of tire subsystem. Modelling and simulation of steering subsystem. Modelling and simulation of suspension subsystem. Modelling and simulation of gearbox subsystem. Modelling and simulation of engine subsystem. Modelling and simulation of vehicle handling. Quarter car model. Modeling and simulation of ABS. Modeling and simulation of ESP.

The course aims to take the student's existing knowledge of basic mechanics and modelling and simulation of dynamical systems and apply them to road vehicles, in particular, vehicle subsystems, vehicle ride and handling behaviour. The key to the course material is the understanding of various dynamical equations of motion governing vehicle behaviour as well as computer simulation.

Course outlineIntroduction to the basic mathematical and mechanics concepts relevant for analyzing vehicle dynamics. Modelling and simulation of vehicle subsystems: tire; steering; suspension; gearbox; engine. Modelling and simulation of vehicle ride: vehicle/driver motions; vehicle vibration (frequency, dumping); suspension behavior of quarter car model, design and practical issues (springs, dumpers); road surface inputs and human response. Modelling and simulation of vehicle handling: understeer and oversteer; modelling and simulation of tires, their force and moment behavior. Modelling and simulation of ABS, ESP. Graphical methods of vehicle modeling. Case studies of modelling and simulation of vehicle ride and handling.


Lectures, Auditory Exercises, Computer Exercises; Consultations

Textbooks/referencesD. Antić, B Danković, "Modelling and simulation of dynamical systems", Faculty of Electronic Engineering, Niš, 2001. (in Serbian)


Jazar, Reza N., "Vehicle Dynamics: Theory and Application", ISBN 978-0-387-74244-1, 2009.

A. Galip Ulsoy, Huei Peng, Melih Çakmakci, "Automotive Control Systems", ISBN-13: 978-1-107-01011-6, April 30, 2012.

D. Antić, B Danković, "Practical handbook on modelling and simulation of dynamical systems", Faculty of Electronic Engineering, Niš, 2006. (in Serbian)

Control systems

Antić S. Dragan, Milojković T. MarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Perić Lj. Staniša

Computer Control Systems and Measurement TechniquesMaster studies (MSc)Modelling and Simulation in Automotive Industry





1

234

5


2 1Teaching methods



20

Computer Control Systems and Measurement TechniquesMaster studies (MSc)Quality Management


Nikolić S. ZoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Zoran


Lectures; Consultation.

Textbooks/referencesŽ. Mitrović, Osnove integralnog upravljanja kvalitetom proizvoda, Institut za unapređenje robnog prometa i Jugoslovenski zavod za produktivnost rada, Beograd, 1985.


H. S. Gitlow, D. M. Levine, R. Oppenheim, A. J. Oppenheim , Quality Management, Irwin Professional Pub 2004.

V. Feigenbaum, Total Quality Control, McGraw-Hill, New York, 1983.B. Popović, B. Kamberović, "Upravljanje kvalitetom", Naučna knjiga, Beograd, 1987

Control Systems


Number of ECTS

Theoretical knowledge. Mastering the use of statistical methods and tools for implementation in quality management.

The use of statistical methods and tools. The use of software tools

Mastering the knowledge on statistical methods and tools for quality management.

Course outline

Quality characteristics. Quality control techniques. Application of statistical process control. Methods and tools for quality control. Benchmarking (strategies, operations, processes and procedures). Design of experiment. Total Quality Management (TQM). Planning and developing quality assurance system. Quality Costs. Quality function deployment method (QFD). Failure mode and effect analysis method (FMEA). Six-Sigma Method. Baldrige organizational performance excellence management principles. Preparing, conducting and reporting on a quality audit to different quality standards. Software tools. Management information systems.




12

3

45


2 1Teaching methods


10 written exam 40oral exam

4010

Mihajlović T. Vladan


Number of ECTS

Theoretical and practical knowledge about principles, methods, software tools, omponents and frameworks for design and implementation of geographic information systems (GIS).

Work on design and implementation of geographic information system using commercial and open source software components, frameworks and platforms. Spatial database design. Implementation of GIS functionalities for storage, processing, search and visualization geospatial and spatio-temporal data. Implementation of Web GIS and Web services based on OGC standards and specifications.

Acquiring knowledge, methods and technologies required for design and implementation of geographic information systems (GIS).

Course outline

Introduction to geographic information systems. Geographic and cartographic foundations of GIS. Positioning and GPS (Global Positioning System). Geospatial data models. Geospatial data representations and algorithms for processing. Index structures and access methods. Spatial databases. GIS architecture and design. Geovisualization and GIS interfaces. Geospatial data analysis. Time in GIS and spatio-temporal data management. OGC specification and standards. Web GIS and distributed GI services. Mobile GIS and location-based services.


Lectures, auditive exercises, lab practicing, independent student work on assignments and projects, student seminars.

Textbooks/referencesM. Worboys, M. Duckham, GIS: A Computing perspective, second edition, CRC Press, 2004.


Scientific papers and articles presented at conferences and published in journals and books.

P. Rigaux, M. Scholl, A. Voisard, Spatial Databases: With Application to GIS, Morgan Kaufmann,2002

P. A. Longley, M. F. Goodchild, D. J. Maguire, D. W. Rhind, Geographic Information Systems and Science, 3rd edition, John Wiley & Sons, 2010.

Control Systems

Stojanović H. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Predić B. Bratislav

Computer Control Systems and Measurement TechniquesMaster studies (MSc)Geographic Information Systems



Course outcomes



1

2

345


2 1Teaching methods



20

Computer Control Systems and Measurement TechniquesMaster studies (MSc)Computer Animation


Rančić D. Dejan, Milosavljević Lj. AleksandarLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Dimitrijević M. Aleksandar


Lectures, exercises, individual student work on projects.

Textbooks/referencesDejan Rančić, Aleksandar Milosavljević, Slides from lectures (CD), Faculty of Electronic Engineering, Niš, 2013.


John Vince (Ed.), Handbook of Computer Animation,Springer-Werlag, 2003.

Rick Parent, Computer Animation: Algorithms and Techniques, Morgan Kaufmman Publ., 2002.

Control Systems


Number of ECTS

Theoretical and practical knowledge of algorithms and techniques for computer animation. Capability to program graphical applications as well as to use of existing software for computer animation.

Introduction to the software tools for computer animation.

Introduction to the basic algorithms and techniques for computer animation.

Course outline

Algorithms and programming techniques of computer animation. Algorithms and approaches to behavioral animation and animation based on the physics of the object. 2D and 3D animation. Sprites. Key frame technique. Mime and facial animation. Direct and inverse kinematics. Motion capture. Animation for video games. Particle system animation. Clothes animation.


Course objectives

Course outcomes



12

345



points Final exam points10 written exam 2015 oral exam 201520

Jocić V. Aleksandar

Master studies (MSc)Wireless Sensors and Sensor Networks


Computer Control Systems and Measurement Techniques

Arsić Z. Miodrag, Denić B. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


The working principle and metrological characteristics of the basic types of sensors for measurement of temperature, pressure, humidity, position, linear and angular velocity, acceleration, force, strain, vibration, distance, flow, sensor for motion detection, sensors for the detection of biochemical agents, biosensors, Hall sensors, acoustic sensors. Intelligent wireless sensors. Definition, principle of operation and architecture of wireless sensor networks. Acquisition of data using wireless sensors and sensor networks. Data processing and compression in wireless sensors and sensor networks. Application of wireless sensors and sensor networks in the industry (equipment monitoring, control and automation of production), the army (detection of biochemical threats, surveillance, monitoring and guidance), civil engineering (monitoring the structural stability of buildings, smart house and automation of living space), medicine (patient monitoring - ECG, pulse, pressure), seismology (early detection of seismic activity), biology (ecosystems monitoring), agrosystems (quality control of soil - moisture, pH, pesticides).


Lectures; Computational exercises, laboratory exercises, consultations, solving of project tasks

Textbooks/referencesЈ.Webster, “The measurement, instrumentation, and sensors handbook”, IEEE Press, 1999.


Mohammad Matin, "Wireless Sensor Networks-Technology and Applications", In Tech 2012.Robert Faludi, "Building Wireless Sensor Networks", O'Reilly Media, 2010.

Mohammad Ilyas, Imad Mahgoub, "Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems", Taylor & Francis, 2004.

Control Systems

Pešić T. Miroljub


Number of ECTS

Students will gain the necessary theoretical knowledge about different types of sensors and about principles of data acquisition using wireless sensors and sensor networks. Students will gain insight into the many applications of wireless sensors and sensor networks, which will give them the ability to solve real problems in practice.

Laboratory exercises and projects.

Introduction to the working principles of sensors. The study of techniques for data acquisition and processing using wireless sensors and sensor networks. Introduction to the applications of wireless sensors and sensor networks.

Course outline


Course objectives

Course outcomes



12

345


2 1Teaching methods



4015

Automatic Control, Computer Control Systems and Measurement Techniques Master studies (MSc)Telemetry

Study program


Denić B. Dragan, Perić H. ZoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Miljković S. Goran


Concrete examples and problems are analysed on exercises.

Textbooks/referencesD. Denić, G. Miljković, "Telemetrija - skripta", na sajtu Elektronskog fakulteta, 2007.


S. Horan, “Introduction to PCM telemetering systems”, CRC Press, 2002.W. Nawrocki, „Measurement systems and sensors“, Artech House, 2005.

Ј.Webster, “The measurement, instrumentation, and sensors handbook”, CRC Press, 1999.

D. Denić, I. Ranđelović, D. Živanović, „Računarski merno-informacioni sistemi u industriji“, Elektronski fakultet u Nišu i WUS Austria, skripta, 2005.

Control Systems


Number of ECTS

Capability of basic problems defining related to transmission of measurement signals and to realisation of modern measurement systems for remote measurement. Designing of simple telemetry systems examples and estimation fulfillment of standards. Capability of working with modern measurement systems for distant measurement.

The course has the goal to introduce students with basic transmission techniques of measurement signals and with a number of modern measurement systems configurations for remote measurement.

Course outline

Basic terms and definitions; pneumatic telemetry systems; analog telemetry systems, frequency and pulse-width modulation; transmitters; two-wire transmitters, serial and parallel power sources; analysis of concrete two-wire transmitter examples, analogue and digital telemetry systems; delta modulation; digital telemetry systems; FSK (frequency-shift keying) modulation; pulse code modulation (PCM); digital transmitters; digital two-wire transmitters; universal asynchronous receiver-transmitter; computer based telemetry systems; standard interface systems; modems; automotive telemetry systems; fiber-optic telemetry systems; industrial telemetry systems, biotelemetry, virtual instrumentation and Internet in telemetry systems; connection of distant measurement systems, distributed virtual laboratories; telemetry system testing; telemetry standards.




123

4

5






Functional sensors in vehicles. Sensors for vehicle monitoring and for driver and passengers status information obtaining. Sensors for vehicle security and protection. From the group of functional sensors, a special attention is given to the following sensors: Position sensors (potentiometer sensors, magneto-inductive sensors, magneto-static sensors, current-magnetic sensors, sensors with the Hall’s effect, GMR sensors, velocity and acceleration sensors, and other sensors for angle measurement and movement detection in the car). Force and torque sensors (magneto-elastic sensors, piezoresistive sensors, eddy current sensors, and other force and torque sensors). Pressure sensors (capacitive sensors, piezoceramic sensors, other pressure sensors). Flow meters (mass and volumetric flow sensors, sensors based on the differential pressure, sensors with a hot wire, sensors with ballast, sensor based on the pressure compression principle, other sensors for measurement of the flow). Temperature sensors (metal-resistive sensors, semi-conducting sensors, contactless temperature sensors, other temperature sensors). Gas sensors and concentration sensors (O2 sensors, CO and CO2 sensors, nitrogen oxide sensors, sensors for the gases and liquids humidity, sensors for the soot concentrations in the exhaust gases, "lambda" sensors, other sensors). Actuators in an automobile. The processing of the sensor signals. Data exchange between the automobile electronic systems. The main requirements and directions in sensors and actuators development in the automobile industry.

Computer Control Systems and Measurement Techniques Master studies (MSc)Sensors and Transducers in Vehicle

Stojković S. Ivana



Stojković S. Ivana


Textbooks/referencesDragan Stanković, ''Fizičko-tehnička merenja'', Naučna knjiga, Beograd, 1987.


J. Marek, H.-P. Trah, Y. Suzuki, I. Yokomori, "Sensors applications, volume 4 - Sensors for Automotive Applications", John Wiley and Sons, 2003.

John Webster, „The Measurement, Instrumentation and Sensors Handbook“, CRC Press, IEEE Press.

Mladen Popović, “Senzori i merenja”, V.Е.Š., Beograd, 1995.

Control SystemsStudy program


Number of ECTS

Practical and theoretical knowledge necessary for sensors using in vehicles.

Covering necessary knowledge for sensor using in automotive industry.

Course outline

Measurements with different types of sensors.

Measurements with different types of sensors.




123

45


2 2Teaching methods



0


Number of ECTS

Theoretical knowledge. Mastering the using of relevant sensors and electronic circuits.

Mastering the basic knowledge necessary to use sensors for measuring non-electrical quantities with electrical methods.

Course outlineTransducers, calibration, linearization and connecting. Classification of sensors. Motion sensors, linear and angular motion sensors. Acceleration, force and torque sensors. Sensors for the measuring of pressure, level and flow of fluids. Temperature sensors and radiation thermometry. Sensors for the measuring of humidity, smoke and other non-electrical quantities. Sensors for the measuring of angular velocity and car tires pressure, light and rain sensors. Actuators and their characteristics. Sensors, transducers and actuators connecting.


Lectures, Auditory exercises, Laboratory exercises, Consultations.

Textbooks/referencesDragan Stanković, ''Fizičko-tehnička merenja'', Naučna knjiga, Beograd, 1987.


Nawrocki, „Measurement systems and sensors“, Artech House, 2005.

John Webster, „The Measurement, Instrumentation and Sensors Handbook“, CRC Press, IEEE Press.

Mladen Popović, “Senzori i merenja”, V.E.Š., Beograd, 1995.

Control Systems




Computer Control Systems and Measurement Techniques Master studies (MSc)Sensors, Transducers and Actuators



Course outcomes



1

234

5





030

Miljković S. Goran


Number of ECTS

The ability of students to understand structure and characteristics of modern measurement systems. The ability to make a concept of measurement system, develop measurement methods and realize virtual instument based on the project task.


Deepening knowledge about inteligent sensors, distributed measurement systems and virtual instrumentation.

Course outlineBasic block diagram of an inteligent measurement system. Basic definitions. Integrated inteligent sensors and integrated measurement moduls. Distributed measurement systems. Connection of measurement and computer systems. Virtual instrumentation and virtual laboratories. Metrological characteristics of inteligent measurement systems. Measurement and control systems in cars based on inteligent sensors.



Textbooks/referencesD. Denic, I. Randjelovic, D. Zivanovic, „Racunarski merno-informacioni sistemi u industriji“, Faculty of electronic engineering Nis and WUS Austria, script, 2005.


Horn, G., Huijising, J., "Integrated smart sensors, design and calibration", doctoral diss., Delft, Kluwer Academic Publisher, Netherlands, 1998.

National Insturments, "Measurement and Automation Catalog", National Instruments CatalogBarney, G.C., “Intelligent Instrumentation”, Prentice Hall, New York, 1998.

Control Systems




Computer Control Systems and Measurement Techniques Master studies (MSc)Intelligent Measuring Systems





1

2

345


2 2

Teaching methods



Miljković S. Goran, Simić M. Milan


Number of ECTS

Capability of student to select, on the basis of specific project tasks, components of measuring system and to realize program in „LabVIEW“ graphical programming language.

Laboratory exercises: Learning of LabVIEW programming language basics. Solving of complicated programming tasks. Examples of specific virtual instruments for measurement of temperature, impedance parameters, AD converter characteristics.Realization of project tasks and seminar papers from area of theoretical teaching.

Aim of the subject is introduction with concept, hardware and techniques for programming of virtual measuring instruments, as with specific examples of measuring systems.

Course outline

Hardware of virtual instruments. Types of acquisition modules, characteristics. Programming language LabVIEW, concept and basic techniques. Front panel, block diagram, functions palettes. Data stream and parallel execution of code segments. Signal analysis. Reduction of measurement errors in virtual instruments. Linearisation, compensation of influential quantities, calibration. Advanced data presentation. Serial communication with separated instruments. Connection of sensors and actuators. Examples for specific implementations of measuring systems.


Lectures with using of modern resources for presentation, discussion of students solutions for defined tasks, consultations. Practical teaching will be performed in laboratory equipped with computers.

Textbooks/referencesD. Denić, I. Ranđelović, D. Živanović, “Computer measuring and information systems in industry“, Faculty of Electronic Engineering in Niš and WUS Austria, script, 2005.


LabVIEW 2012, User Manual, National Instruments. G.C. Barney, “Intelligent Instrumentation”, Prentice Hall, New York, 1998.

National Instruments, "Measurement and Automation Catalog", National Instruments Catalog.

V. Drndarević, "Acquisition of measuring data using computer", Institute for nuclear sciences, Vinča, 1999.

Control Systems



Computer Control Systems and Measurement TechniquesMaster studies (MSc)Virtual Measuring Instrumentation



Course objectives

Course outcomes



1

2345


2 1Teaching methods




Number of ECTS

Upon completion of this course students will be able to:• formulate and solve control engineering tasks related to the most representative automotive systems using the Control Theory methodology.• model and simulate complex automotive systems in computer interactive environment, using MATLAB and SIMULINK – modern numerical analysis and simulation tools.

Coordinates and Notation for Vehicle Dynamics. Longitudinal Vehicle Motion. Lateral Vehicle Motion. Vertical Vehicle Motion. Linear Vehicle Model. Nonlinear Vehicle Model. Design of model for ABS, ESP. Design of advanced control methods for automotive control systems. Simulation in Matlab and Simulink packages. Real-time experiments.

The aim of the course is to familiarise students with the control issues of the automotive subsystems that influence the general behaviour of the whole vehicle. The course will cover control system design and numerical simulation of automotive subsystems such as brake system, ride & handling systems (suspension, steering, ESP), and power-train (transmission, clutch, launch control, electronic differential). The course will start with the most widely used control structure in automotive applications and end with the advanced control topics that include system constraints in the design and the driver system closed loop control. This course will also address the design, control and implementation of these systems using the platform of MATLAB and SIMULINK.

Course outlineIntroduction to vehicle control and basis of systems control engineering. Vehicle as a system, controlled by tyre forces and internal suspension loads, with interfaces to the driver and the traffic environment. Control of lateral dynamics. Control of longitudinal dynamics. Control of vertical dynamics. Applications of dynamics control systems. Assistance systems in commercial vehicles. Development of control systems for automotive applications. Power steering (EPS, EHPS). Integrated vehicle (body) control. Suspension control. Introduction to traction and brake control (ESP, ESC, DSC, ABS). Development of mathematical models in continuous- and discrete-time domain. Advanced control algorithms (fuzzy, neural network, sliding mode) designed and applied in automotive applications.


Lectures; Computer Exercises; Consultations

Textbooks/referencesA. Galip Ulsoy, Huei Peng, Melih Çakmakci, "Automotive Control Systems", ISBN-13: 978-1-107-01011-6, April 30, 2012.


Jazar, Reza N., "Vehicle Dynamics: Theory and Application", ISBN 978-0-387-74244-1, 2009.

Control Systems



Perić Lj. Staniša

Computer Control Systems and Measurement TechniquesMaster studies (MSc)Control Systems in Vehicles



Course objectives

Course outcomes


Practical

1

2

345


2 1Teaching methods



50


Number of ECTS

At the end of the course the student will be able to understand the current problems in implementation of intelligent systems, as well as future research directions and development in artificial intelligence. Students will be able to meet the challenges on the choice and design of certain parts of intelligent systems. Students will be able to identify issues in the implementation of distributed intelligent systems, the problem of semantic information integration, and to implement some of the solutions based on ontology.

To provide students with skills in advanced artificial intelligence techniques. To show students the current problems and possible solutions for the implementation of intelligent systems, the importance of computer vision, communication, and planning for the implementation of intelligent systems. Students are to be presented with decision making with unreliable data. To demonstrate students possible applications of intelligent systems for business applications, as well as application of ontology in solving the problem of semantic information integration.

Course outlineTheoretical study of systems with artificial intelligence. Tjuringov test. Concluding with unreliable data: non-monolithic reasoning, statistical methods. Bayes' network: syntax and semantics, accurate and approximate reasoning. Computer Vision. Communicating: natural language processing. Speech recognition. Understanding of natural language. Planning algorithms. Probabilistic reasoning. Distributed intelligence and distributed reasoning systems. Application of intelligent systems in business. Business intelligence, multi-database and OLAP. Representation of semantics and common-sense knowledge. Ontologies. Examples of systems based on ontologies (intelligent integration of information, Semantic Web).Practical lessons include implementation of the system with unreliable conclusions. Algorithms and methods for computer vision. Algorithms and methods for natural language processing. Machine learning algorithms and natural language understanding. Ontologies and semantic representations. Standards for ontologies. The application of intelligent systems and examples.


Lectures, board exercises, individual student homework and project, student final papers presentation and discussion.


S. Russell, P. Norvig: Artificial Intelligence: A Modern Approach, Prentice Hall Series in AI, 2007.


G. Luger, Artificial Intelligence, Structures and strategies for Complex Problem Solving, fourth edition, Addison Wesley, 2002.

Control Systems



Todorović Z. Darko

Computer Control Systems and Measurement TechniquesMaster studies (MSc)Intelligent Systems



Course objectives

Course outcomes



12

345


2 1Teaching methods



50


Number of ECTS

Ability to understand the basic principles of mobile communication. Knowledge of the architecture and functioning of the most important representatives of 2G, 2.5G and 3G mobile systems. Knowledge of the basic principles of LTE systems and trends in mobile communications development.

Problem solving in different areas covered by theoretical teaching.

Mastering the knowledge and skills in mobile communication systems. Introduction to the basic principles and techniques of mobile communications, as well as the specifics of current and future mobile systems and services that they offer.

Course outlineThe evolution of mobile communication systems. Cellular approach. Propagation modeling in mobile communications. GSM system. Mobile station. Base station. Other parts of the system architecture. Features and services of the GSM system. 2,5G mobile systems. Architecture, features and services of 3G systems (UMTS). Techniques for fast packet access - HSPA and HSPA +. LTE systems - basic features and architecture. Development trends of mobile communications systems. The fixed-mobile convergence. Regulations in the field of mobile communications systems and safety of non-ionizing radiation.


Lectures, exercises, consultations

Textbooks/referencesT. Novosad, Radio Network Planning and Optimisation for UMTS, John Wiley &Sons, 2006


D.P.Agrawal, Q.A.Zeng, Introduction to Wireless and Mobile Systems, Thomson, 2006The script of the subject teacher (in manuscript)

J. Schiller, Mobile Communications, Addison-Wesley, 2000.

R. Prasad, W. Mohr, W. Konhäuser, Third Generation Mobile Communication Systems, Artech House, 2000.

Control Systems

Marković V. VeraLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Marinković D. Zlatica

Computer Control Systems and Measurement TechniquesMaster studies (MSc)Mobile Communication Systems


4 Course status (obligatory/elective) obligatory PrerequisitesCourse objectivesCourse outcomes



12345


2 1Teaching methods



Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Computer Control Systems

Study program


Jovanović D. Zoran, Milojković T. MarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Perić Lj. Staniša


Lectures; Auditory exercises; Laboratory exercises; Computer exercises; Consultations; Study research work.

Textbooks/referencesG. Olsson, G. Piani, “Computer Systems for Automation and Control”, Prentice Hall, 1992.


M. Tooley, “PC-based Instrumentation and Control”, Newnes, 2001.G. Kalani, “Industrial Process Control”, Elsevier Science, 2002.

Control Systems


Number of ECTS

Practical knowledge of computer application in the process industry and in the control of decentralized and distributed structures (electrical distribution, municipal and energy system).

Students deepens methodological units from lectures throught practical applications in a laboratory, study research work, as well as solving specific problems on auditory exercises.

Acquiring knowledge of computer control systems applied in both centralized and distributed systems.

Course outlineControl of complex technological processes. Centralized control. Distributed control. Hierarchical control. Choosing a computer for real-time control. Input-output devices. Software support for control systems in real time. Interconnecting computer with technology processes. Application of microcomputers in the design and implementation of control systems. Practical application of PLC and SCADA systems in process control. Computer applications in process industries, machine tools and municipal systems control.

4 Course status (obligatory/elective) obligatoryPrerequisitesCourse objectivesCourse outcomes

Theoretical teachingPractical teaching (exercises, OFE, study and research work)

1

2

345


2 1Teaching methods


20 written examoral exam 30

50


Number of ECTS

Based on the acquired theoretical knowledge, students can successfully solve different control problems in an unconventional way using modern approaches.

Homework and solving concrete problems during exercises facilitates students to overcome the methodological units that are processed through theoretical classes.

Understanding the modern control theory and introduce students to techniques and selected examples of intelligent control.

Course outlineIntroduction to intelligent control. Intelligent vs. classical control. Adaptive control systems. Kalman filtering. Fuzzy control. Neural networks. Genetic Algorithms. MATLAB/Simulink based simulation of intelligent control systems..


Lectures; Exercises; Consultation. Active involvement of students is stimulated in a way that students receive some topics that are required to explain during the classes.

Textbooks/referencesK.J. Åström, B. Wittenmark: Computer-Controlled Systems – Theory and Design, Englewood Cliffs, N.J.: Prentice-Hall, 1984.


H. Nguyen, N. Prasad, A First Course in Fuzzy and Neural Control. Chapman and Hall, 2003.

S. V. Kartalopoulos, Understanding Neural Networks and Fuzzy Logic: Basic Concepts and Applications, Wiley-IEEE Press, 1995.

Control Systems

Naumović B. MilicaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Milojković T. Marko

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Intelligent Control Methods

Study program


4 Course status (obligatory/elective) obligatoryPrerequisitesCourse objectives

Course outcomes



1234

5


2 1Teaching methods




Number of ECTS

Knowledge about the types of controllers and their application (current, torque, speed and position control), design (method of poles placement, method of symmetric and technical optimum), frequency control of induction motor, vector control.

Modeling of ED using Hamilton's principle and Lagrange-Euler equations. Time responses of EDs. Control of position and rotation of a DC motor using linear (PI, PD and PID) controllers. The selection of the type of linear controller and practical parameters tuning. Control of asynchronous motor. Frequency control of rotation speed of asynchronous motor. Asynchronous motor control based on PLC and frequency controllers. Vector control of asynchronous motors. Implementation of ED in the automotive industry. ABS, ESL, ESC, servo systems in modern vehicles.

Introduction to the different types of controllers, control of electric drives coordinates, structures of controlled electrical drive, design methods of controlled electrical drives.

Course outlineDefinition, significance, application and types of regulated electric drives. Mechanics of electrical drives (ED). Electrical drive kinematics with examples. Generalized model of motor, the regimes of energy transformation, the coordinate transformations. Electromechanical motor characteristics. DC motors, asynchronous and synchronous motors, step motors. Dynamic characteristics of electromechanical systems. Regulation of electric drive coordinates (moment, current, velocity, position). System controlled power converter – electrical drive. Typical structures of controlled electric drive. Methods for design of controlled electric drives. Classical methods. Modern methods. Control of a DC motor using linear controllers. The selection of the type of linear controller and parameters tuning. Control of asynchronous motor. Frequency control of rotation speed of asynchronous motor. The principle of vector control using field orientation. Design of identity observer. Control based on state space coordinates.


Lectures; Auditory exercises; Computer exercises; Consultations

Textbooks/referencesV. Vučković, “Electrical Drives“, Akademska misao, 2002. (in Serbian)


Dragan Antić, Darko Mitić, Zoran Jovanović, "Electrical drive control - workbook", Faculty of Electronic Engineering, Niš, 2010. (in Serbian)

W. Leonhard: “Control of Electrical Drives“, Springer-Verlag, 1996.I. Boldea, S.A. Nasar: “Vector Control of AC Drives“, CRC Press, 1992.

Control Systems

Antić S. Dragan, Jovanović D. Zoran, Mitić B. DarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Saša

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Electrical Drive Control

Study program


3 Course status (obligatory/elective) obligatoryPrerequisites

Course objectives

Course outcomes



12345


Teaching methods


written exam70 oral exam 30


Number of ECTS

Improving the ability of students to involve in the work process right after their studies. Developing the responsible and professional approach to the work and communication skills in the team. Complementing the theoretical knowledge previously acquired and practical knowledge of the issues already studied in the framework of study program. Using the experience of experts employed at the facility where the practice is performed to extend the practical knowledge and motivation of the students. Gaining a clear insight into the possibility of applying the knowledge and skills covered by the study program in practice.

Student typically chooses on its own the company from the state, private or public sector, where he would like to perform a professional practice. Professional practice can be also performed abroad, in which case the student, among other things also improves foreign language. Based on student's suggestion, the head of the module approves conducting the practice in the desired institution and orders a written request to the person in charge for performing the practice at that institution. Upon completion of the practice and according to the student’s reports and the responsible person's signature and company stamp that confirms that the practice is completed, the student will be awarded with 3 ECTS credits for the carried out practice.

Introduction to the working process of the enterprise in which the practice is performed, its objectives and organizational units. Getting to know the team and the project selected in accordance with elected study module. Understanding the working process of the enterprise, business processes, safety at work, participation in the design and documentation and quality control in accordance with the working process and opportunities of the working environment.

Course outline

Content of the professional practice is in full compliance with the goals of the practice. Students get to know the structure of the company and its business goals, adjust their own actions to the chosen study area and fulfil the work obligations in accordance with the duties of employees in the company. Student describes his own involvement in the professional practice and provides a critical review on their experience, knowledge and skills they have gained during the practice.




Control Systems

Professional practice does not have numerical grade. Grading is descriptive (pass/fail).

Head of the module for each moduleLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Professional Practice/Team Project

Study program



Course objectives

Course outcomes

Theoretical teachingPractical teaching (exercises, OFE, study and research work)

12345

Lectures Exercises OFE Study and research work Other classes10

Teaching methods

points Final exam pointswritten examoral exam 50

50

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Study and Research Work 1

Study program





The course teacher prepares the problem and presents it to the student. The student is required to write the project in the scope of given topic, defined by the given problem, by using the existing suggested literature. During the preparation of the project, course teacher can give the student additional instructions refer to specific literature and further direct him to the goal of writing quality research paper. In the scope of study research work, student consults with the relevant teacher and, if necessary, with other teachers involved in the issues related to the topics of the paper. Within a given topic, the student performs specific measurements, tests and other research, statistical data analysis, if necessary.



Control Systems


Number of ECTS

Enabling students to independently apply previously acquired knowledge from different fields of previous studies, in order to review the structure of the original problem and its system analysis to get conclusions about possible solutions. Using the literature, students expand their knowledge by studying different methods and papers related to the similar problems. In this way, the students develop the ability to conduct analysis and identify problems within the stated area. Practical application of acquired knowledge develops the student’s ability to understand the place and role of engineers in the chosen field, the need for cooperation with other professions and teamwork.

Application of basic, theoretical-methodological, scientific-professional, and professional-applicative knowledge and methods in solving of practical problems. Student analyses the problem, its structure and complexity and on the basis of the conducted analysis makes conclusions on the possible ways of solving it. By studying literature, student gets familiar with the methods designed to solve similar problems and engineering practice in solving them.

Course outline

Theoretical teaching is formed individually in accordance with the needs of the courses of the first semester of the basic academic studies, their complexity and structure. Part of the teaching in courses is performed through individual study research work. Student, according to his preferences and inclinations, chooses the field of study work and teacher from a list of teachers on study program, who then defines the specific task. Students study professional literature, professional and scientific papers on similar topics, and perform analysis in order to find a solution for a specific task or carry out certain experiments in the laboratory. Study work includes also active monitoring of primary knowledge, organization and conducting experiments, numerical simulations and statistical data analysis, writing a paper on the scientific and teaching field which the subject of individual research work belongs to.


Course objectives

Course outcomes



12345

Lectures Exercises OFE Study and research work Other classes10

Teaching methods

points Final exam pointswritten examoral exam 50

50


Number of ECTS

Enabling students to independently apply previously acquired knowledge from different fields of previous studies, in order to review the structure of the original problem and its system analysis to get conclusions about possible solutions. Using the literature, students expand their knowledge by studying different methods and papers related to the similar problems. In this way, the students develop the ability to conduct analysis and identify problems within the stated area. Practical application of acquired knowledge develops the student’s ability to understand the place and role of engineers in the chosen field, the need for cooperation with other professions and teamwork.

Application of basic, theoretical-methodological, scientific-professional, and professional-applicative knowledge and methods in solving of practical problems. Student analyses the problem, its structure and complexity and on the basis of the conducted analysis makes conclusions on the possible ways of solving it. By studying literature, student gets familiar with the methods designed to solve similar problems and engineering practice in solving them.

Course outline

Theoretical teaching is formed individually in accordance with the needs of the courses of the first semester of the basic academic studies, their complexity and structure. Part of the teaching in courses is performed through individual study research work. Student, according to his preferences and inclinations, chooses the field of study work and teacher from a list of teachers on study program, who then defines the specific task. Students study professional literature, professional and scientific papers on similar topics, and perform analysis in order to find a solution for a specific task or carry out certain experiments in the laboratory. Study work includes also active monitoring of primary knowledge, organization and conducting experiments, numerical simulations and statistical data analysis, writing a paper on the scientific and teaching field which the subject of individual research work belongs to.


The course teacher prepares the problem and presents it to the student. The student is required to write the project in the scope of given topic, defined by the given problem, by using the existing suggested literature. During the preparation of the project, course teacher can give the student additional instructions refer to specific literature and further direct him to the goal of writing quality research paper. In the scope of study research work, student consults with the relevant teacher and, if necessary, with other teachers involved in the issues related to the topics of the paper. Within a given topic, the student performs specific measurements, tests and other research, statistical data analysis, if necessary.



Control Systems



Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Study and Research Work 2

Study program



Course objectives

Course outcomes



12345


Teaching methods


written examoral exam

Automatic Control, Computer Control Systems and Measurement TechniquesMaster studies (MSc)Master Thesis

Study program





With the help of teacher mentor, student tries to solve the given task, as independent as possible, and to prepare appropriate documentation and oral presentation. Student's independent work is awarded with 15 ECTS.



Control Systems


Number of ECTS

Ability to lead a simpler independent project, the ability of the formulation and problem analysis, critical review on the possible solutions, the literature review in the given field. The application of the acquired engineering and project skills and knowledge to solve problems, given the complexity, costs, reliability and efficiency of solution. Ability to write the paper in the given form. The ability to give clear and acceptable explanation to the widest audience of the completed project through the oral presentation.

Master thesis aims to bring together, validate and practicaly apply the knowledge acquired during the studies. The student will have the opportunity to demonstrate the ability of independent performing of a simpler project, which can be of practical, research or theoretical-methodological type. Student also gains experience in the presentation of his/her work in the written form and oral presentation while defending master thesis.

Course outline

Master thesis represents student's independent research, practical or theoretical-methodological work, adequate to the level of studies, in which he/she gets familiar with a chosen area through a literature review and adopts the research and design methodology necessary for the solving the given problem. During the thesis writing , student applies practical and theoretical knowledge acquired during his/her studies. Written paper tipically contains an introductory chapter, the definition of the problem, survey of existing solutions, proposal and description of his/her solution, conclusion and references. Public oral presentation is performed with committee, consisted of three members, one of whom is a mentor. During the oral presentation, the candidate explains the results of his/her work, and then responds to the questions of the committee members, and in that way the candidate demonstrates the ability of the oral presentation of the project.

Documents

Specification for the book of courses - University of Niš · PDF filework) 1 2 3 4 5 Lectures Exercises ... Specification for the book of courses Lectures; ... Discrete-time MPC