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Lecturer(s)
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Matušů Radek, doc. Ing. Ph.D.
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Pekař Libor, doc. Ing. Ph.D.
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Course content
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- Dynamic systems and signals, classification of systems and signals, linear and nonlinear systems and models. - Discrete-time and continuous-time systems, mathematical description of systems. - Differential and difference equations, Laplace transform, Z-transform. - State-space and input-output description of systems. - Transformation of state variables. - Stability of systems and its criteria. - Solution of linear systems, solution of state equations, properties of systems, observability, controllability, reachability,... - Computational tools for simulation of systems and signals, Matlab, Simulink.
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Learning activities and teaching methods
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Dialogic (Discussion, conversation, brainstorming), Methods for working with texts (Textbook, book), Individual work of students
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| prerequisite |
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| Knowledge |
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| Knowledge of mathematics and automatic control theory at the level of master's degree programs is assumed. |
| Knowledge of mathematics and automatic control theory at the level of master's degree programs is assumed. |
| learning outcomes |
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| Completion of the course provides competencies in the following areas: Dynamic systems and signals, classification of systems and signals, linear and nonlinear systems and models. Discrete-time and continuous-time systems, mathematical description of systems. Differential and difference equations, Laplace transform, Z-transform. State-space and input-output description of systems. Transformation of state variables. Stability of systems and its criteria. Solution of linear systems, solution of state equations, properties of systems, observability, controllability, reachability,... Computational tools for simulation of systems and signals, Matlab, Simulink. |
| Completion of the course provides competencies in the following areas: Dynamic systems and signals, classification of systems and signals, linear and nonlinear systems and models. Discrete-time and continuous-time systems, mathematical description of systems. Differential and difference equations, Laplace transform, Z-transform. State-space and input-output description of systems. Transformation of state variables. Stability of systems and its criteria. Solution of linear systems, solution of state equations, properties of systems, observability, controllability, reachability,... Computational tools for simulation of systems and signals, Matlab, Simulink. |
| teaching methods |
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| Individual work of students |
| Individual work of students |
| Dialogic (Discussion, conversation, brainstorming) |
| Dialogic (Discussion, conversation, brainstorming) |
| Methods for working with texts (Textbook, book) |
| Methods for working with texts (Textbook, book) |
| assessment methods |
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| Analysis of a presentation given by the student |
| Analysis of a presentation given by the student |
| Composite examination (Written part + oral part) |
| Composite examination (Written part + oral part) |
| Analysis of seminar paper |
| Analysis of seminar paper |
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Recommended literature
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Corriou, J.-P. Process Control: Theory and Applications. Springer-Verlag London, 2004.
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Dorf, R. C., Bishop, R. H. Modern Control Systems. Pearson (13th Edition), 2016.
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Franklin, G. F., Powell, J. D., Emami-Naeini, A. Feedback Control of Dynamic Systems. Pearson (8th Edition), 2018.
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Goodwin, G. C., Graebe, S. F., Salgado M. E. Control System Design. Prentice Hall, 2001.
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Huba, M., Hubinský, P., Žáková, K. Teória systémov. STU v Bratislavě, 2002.
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Chen, B. M., Lin, Z., Shamash, Y. Linear Systems Theory: A Structural Decomposition Approach. Birkhäuser Boston, 2004.
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Kailath, T. Linear Systems. Prentice Hall, 1980.
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Nise, N. S. Nise's Control Systems Engineering. Wiley, 2015.
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OGATA, K. Modern Control Engineering. Prentice Hall Inc. Englewood Cliffs, New Jersey, 2002. ISBN 0-13-060907-2.
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Ogata, K. System Dynamics. Pearson (4th Edition), 2003.
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Štecha, J., Havlena, V. Teorie dynamických systémů. Nakladatelství ČVUT v Praze, 2002.
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