Selected Topics of Complex Systems Control Design

Course description

Contents of the course is concentrating to the following:

  • introduction to complex systems (description and mathematical representation of complex systems: model uncertainty, multivariable and large-scale systems, systems with time-delays, non-minimum-phase systems, nonlinear and time-varying systems, combined continuous – discrete event systems)
  • presentation of performance limitations using analysis,
  • presentation of corresponding control design approaches, which include also the concepts of optimal control strategies (in implicit or explicit manner):

      optimal control problem (principles and

      criterions, linear quadratic controller,

      state observers, combination of optimal

      control with modern design methods),

      adaptive control design,

      hierarchical and distributed control,

      network control systems,

  • results extension to expert system development

– control implementation technology for complex systems (computer control systems and programmable logic controllers, corresponding software, network technologies, industrial information systems).

Course is carried out on study programme

Objectives and competences

Course goals are:

  • to present properties of dynamic systems which introduce difficulties to control design,
  • to present mathematical tools  enabling analysis of mentioned problems,
  • to present some of algorithms and methods which are suitable for such systems design,
  • to present practical implementation problems of complex control systems.

Taking into account extensiveness of indicated theory, adaptation to student's specifics is also possible.

Learning and teaching methods

Lectures and seminar work

Intended learning outcomes

  • Knowledge and understanding of dynamic systems’ properties,
  • Understanding the limitations of reachable system operation quality,
  • Usage of the chosen design algorithms which are suitable for complex systems,
  • Analysis of properties, important when realizing designed complex controller,
  • Adequate presentation of developed design results in both written and oral form.

Reference nosilca

  1. Glavan M, Gradišar D, Atanasijević-Kunc Maja, Strmčnik S, Mušič G. (2013) Input variable selection for model-based production control and optimisation. Int J Adv Man Tech 68:2743-2759
  2. Atanasijević-Kunc M, Logar V, Karba R, Papić M, Kos A (2011) Remote multivariable control design using a competition game. IEEE Trans Edu 54:97-103
  3. Atanasijević-Kunc M, Kunc V (2010) RF mixers comprising active feedback load Inf MIDEM, 40:163-166
  4. Atanasijević-Kunc M, Karba R (2006) Multivariable control design with expert-aided support. WSEAS Trans Sys, 10:2299-2306
  5. Karba R, Atanasijević-Kunc M (2010) Multivariabilni sistemi. Založba UL FE-FRI, Ljubljana

Study materials

[1] S. Skogestad, I. Postlethwaite, Multivariable Feedback Control, Analysis and Design, John Wiley and Sons Ltd, Chichester, 2006.

[2] P. Jackson: Introduction to Expert Systems, Addison – Wesley, Harlow, 1999.

[3] Astrom, Wittenmark, Adaptive control, Addison-Wesley Longman Publishing Co., Inc. Boston, MA, USA, 1994.

[4] R. Karba, M. Atanasijević-Kunc, Multivariabilni sistemi, Založba FE in FRI, 2010.

[5] M. Atanasijević-Kunc, Multivariabilni sistemi, predstavitev, analiza in načrtovnje skozi primere, Založba FE in FRI, 2004.

[6] J. Stenerson, Fundamentals of Programmable Logic Controllers, Sensors and Communication, Third Edition, Pearson/Prentice Hall, 2004.

Bodi na tekočem

Univerza v Ljubljani, Fakulteta za elektrotehniko, Tržaška cesta 25, 1000 Ljubljana

E: T:  01 4768 411