Course detail

Selected chaps from automatic control

FEKT-DPC-AM1Acad. year: 2024/2025

The subject focuses at studies of the methods of design of advanced control algorithms including classical control structures as well as algorithms of robust, adaptive and predictive control. Attention is also paid to information processing algorithms and state observers for realization of so called virtual sensors and algorithms of sensorless control. Traditional methods for systems control and processing information are complemented by artificial intelligence-based approaches. In addition to the theoretical aspects of the given topic, sample algorithms for advanced drives, mechatronic systems and mobile robots are also solved.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Entry knowledge

Principle of continuous control theory. Principle of discrete control theory. State control.

Rules for evaluation and completion of the course

Elaboration of 2-3 projects (30 points). Final exam (70 points).

Aims

The objective of the course is to develop students' knowledge and competences in the field of design of advanced control algorithms and algorithms for information processing based on classical mathematical approaches as well as artificial intelligence, including possible advanced applications such as mobile robotics.
The graduate should be able to design and tune sophisticated control systems with elements of AI

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Skogestad S., Postletwaite I.: Multivariable Feedback Control, John Wiley & Sons, 2007. (EN)
Slotine J. J. E., Li W.: Applied Nonlinear Control, Prentice-Hall, 1991 (EN)

Recommended reading

Goodwin G.C., Seron M.M. , Doná J.A. Constrained Control and Estimation, Springer, 2005 (EN)
Gu D.-W., Petkov P. H.: Robust Control Design with MATLAB, Springer, 2013 (EN)
Hermann R. ,Krener A., Nonlinear controllability and observability, IEEE Transactions on Automatic Control, vol. 22, no. 5, pp. 728–740, 1977 (EN)
Russell S., Norvig P.: Artificial Intelligence a Modern Approach. Prentice Hall 2010 (EN)
Voseelman G., Mass H-G. Airborne and Terrestrial Laser Scanning, CRC Press, 2010 (EN)

Classification of course in study plans

  • Programme DPC-EKT Doctoral 0 year of study, winter semester, compulsory-optional
  • Programme DPC-KAM Doctoral 0 year of study, winter semester, compulsory
  • Programme DPC-MET Doctoral 0 year of study, winter semester, compulsory-optional
  • Programme DPC-SEE Doctoral 0 year of study, winter semester, compulsory-optional
  • Programme DPC-TEE Doctoral 0 year of study, winter semester, compulsory-optional
  • Programme DPC-TLI Doctoral 0 year of study, winter semester, compulsory-optional

Type of course unit

 

Seminar

39 hod., optionally

Teacher / Lecturer