Selected Topics of Complex Systems Control Design

Higher education teachers: Atanasijević-Kunc Maja
Collaborators: Blažič Sašo, Mušič Gašper

Subject description

Prerequisits:

• Enrolment in the PHD study.
• It is desired to be familiar with the basics of system theory, dynamic systems, basics of dynamic system control design and program package Matlab.

Content (Syllabus outline):

Contents of the course will concentrate mainly 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).

Objectives and competences:

• 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.

Intended learning outcomes:

• Knowledge and understanding of dynamic systems’ properties,
• Understanding the limitations of reachable system operation quality,
• Understanding of some design algorithms which are suitable for complex systems,
• Understanding the implementation problems of complex control algorithms.

Learning and teaching methods:

Lectures and seminar work

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.