### Course Description

# Control Systems and Signal Processing

## Program

Information and Communication Technologies, third-level study programme## Lecturers:

prof. dr. Đani Juričićdoc. dr. Damir Vrančić

prof. dr. Juš Kocijan

## Goals:

The goals of the course are (a) to demonstrate the use of mathematical models of dynamical systems, (b) to present methods for digital signal processing, (c) to introduce the intelligent control systems and (d) to present the basic problems of control of complex systems.

The students will master the basic theory of control systems and will be capable of using the selected methods for modeling, signal processing and control to solve practical problems.

The acquired knowledge is essential for the development of new technologies, intelligent industrial control systems, embedded systems, fault detection and management of complex systems.

## Content:

Introduction:

basic concepts, models of dynamical systems, signal processing and building blocks of modern control systems

Modeling of dynamical systems:

types of dynamical models, stability and controllability concepts, complex dynamics, linear and nonlinear model estimation and system identification

Signal processing:

digital sampling, time- and frequency-domain analysis, random processes, Fourier transform, wavelet transform, state estimation of dynamical systems, virtual sensors

Control systems:

specification, design and implementation of control systems, control of complex dynamical systems, PID control, state control, adaptive control, predictive control

Practical training:

use of selected tools for modeling, signal

processing and control systems design and

validation on experimental test rigs.

## Course literature:

Selected chapters from the following books:

• Strmčnik, S. and Juričić, Đ. (eds.). Case Studies in Control: Putting Theory to Work. Springer-Verlag London, 2013, ISBN 978-1-4471-5175-3

• Levine, W. S. The Control Handbook: Control System Fundamentals. CRC Press, Boca Raton, FL, 2011. ISBN 9781420073607

• Nise, N.S. Control Systems Engineering. John Wiley & Sons, Hoboken, NJ, 2011, ISBN-10: 0470917695

• Isermann, R. and Münchhof, M. Identification of Dynamic Systems: An Introduction with Applications, Springer London, 2011, ISBN 978-3-540-78879-9

• Vetterli, M., Kovačević, HJ. and Goyal, V.K. Foundations of Signal Processing, Cambridge Universaity Press,Cambridge, 2014, ISBN 9781107038608

## Significant publications and references:

• Mileva-Boshkoska, B., Boškoski, P., Debenjak, A., Juričić, Đ. Dependence among complex random variables as a fuel cell condition indicator. Journal of Power Sources, [in press], 26 str., 2015.

• Debenjak, A., Boškoski, P., Musizza, B., Petrovčič, J., Juričić, Đ. Fast measurement of proton exchange membrane fuel cell impedance based on pseudo-random binary sequence perturbation signals and continuous wavelet transform. Journal of Power Sources, 254, 112-118, 2014.

• Boškoski, P., Gašperin, M., Petelin, D., Juričić, Đ. Bearing fault prognostics using Rényi entropy based features and Gaussian process models. Mechanical Ssystems and Signal Processing, 11 str.,2014

• Gašperin, M., Boškoski, P., Debenjak, A., Petrovčič, J. Signal processing and stochastic filtering for EIS based PHM of fuel cell system. Fuel Cells, 14(3), 2014.

• Moura O. P. B., Vrančić, D., Boaventura C.J., Solteiro P. E.J. Teaching particle swarm optimization through an open-loop system identification project. Computer Applications in Engineering Education, 22(2), 227-237, 2014

## Examination:

Seminar work (50%)

Oral defense (50%)

## Students obligations:

Seminar work with oral defense.