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Lecturer(s)
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Daďourek Vladislav, prof. Ing. CSc.
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Course content
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1. Control, systems,signals and information. 2. Real-world systems and mathematical models of controlled processes. 3. Open loop and feedback control systems, standard industrial controllers. 4. Control and stabilization using state feedback. 5. Asymptotic and nonlinear stabilization. 6. Optimal control with compleete state information. 7. Asymptotic state reconstructor and control system design, deterministic separation principle. 8. Stochastically optimal state reconstruction- Wiener-Kalman filter. 9. Stochastically optimal control system design, stochastic separation principle. 10.Identification principles. 11.Adaptive control principles.
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Learning activities and teaching methods
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Lecture supplemented with a discussion, Students' portfolio, Individual study
- Contact hours
- 52 hours per semester
- Graduate study programme term essay (40-50)
- 40 hours per semester
- Preparation for an examination (30-60)
- 30 hours per semester
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| prerequisite |
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| Knowledge |
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| Prerequisities: Basic course of physics, linear algebra, mathematical analysis, especially ordinary differential equations theory, Fourier and Laplace transform, electrical circuits theory, signals and systems, basics of computer science and analog and digital electronic circuits. |
| learning outcomes |
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| Abilities: After the course the student will be able: -on the basic knowledge of fundamental system-theoretic principles combined with specific laws of nature to build adequate structure of mathematical model of the given controlled plant -on the basis of measured data to specify values of model parameters (parameter estimation from real data) -to formulate relevant control goals and to specify physical, engineering and economical restrictions -to choose the whole control system concept including assumed way of realization of the chosen structure -using computer simulation, combined with theoretical analysis and laboratory experiments to verify functionality and performance of proposed alternatives -to evaluate actual results and compare them with mathematically optimal solution |
| teaching methods |
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| Lecture supplemented with a discussion |
| Interactive lecture |
| Seminar |
| Laboratory work |
| Task-based study method |
| Project-based instruction |
| Collaborative instruction |
| Students' portfolio |
| assessment methods |
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| Oral exam |
| Written exam |
| Test |
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Recommended literature
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Havlena, Vladimír; Štecha, Jan. Moderní teorie řízení. Vyd. 2. Praha : Vydavatelství ČVUT, 2000. ISBN 80-01-02095-9.
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Hlavička, Jan. Číslicové systémy odolné proti poruchám. Vyd. 1. Praha : ČVUT, 1992. ISBN 80-01-00852-5.
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Pinker, Jiří. Číslicová elektronika. Plzeň : Vys. škola strojní a elektrotechn., 1980.
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Pinker, Jiří; Georgiev, Vjačeslav. Číslicové elektronické systémy : Určeno posl. 3.-5. roč. fak. elektrotechn.. 1. vyd. Plzeň : Vys. škola strojní a elektrotechn., 1988.
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Podlešák, Jiří; Skalický, Petr. Spínací a číslicová technika. 1. vyd. Praha : ČVUT, 1994. ISBN 80-01-01157-7.
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Štecha, Jan. Teorie dynamických systémů : transparenty pro přednášky. Vyd. 1. Praha : ČVUT, 2003. ISBN 80-01-02744-9.
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Vaněček,A., Čelikovský, S. Control systems: From linear analysis to synthesi of chaos.. Prentice Hall,, 1996.
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