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
Number of ECTS credits
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
Aims
The graduate should be able to design and tune sophisticated control systems with elements of AI
Study aids
Prerequisites and corequisites
Basic literature
Slotine J. J. E., Li W.: Applied Nonlinear Control, Prentice-Hall, 1991 (EN)
Recommended reading
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