Control Systems for Aircraft and Spacecraft

B232 - Summer 23/24
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Control Systems for Aircraft and Spacecraft - BE3M35CSA

 Credits 7 Semesters Winter Completion Assessment + Examination Language of teaching English Extent of teaching 2P+2L
Annotation
System Approach. Object, System, Model. Dynamic Systems Continuous and Discrete Time, Qualitative Analysis of Systems. Poincare Map, Chaos. Linear Systems. System Stability, Uncertainty and Robustness. Controllability and Observability. State Feedback, State Injection, Duality. Stochastic Systems, Realization of Stochastic Processes.
Course outlines
1. System Theory and Cybernetics, Object, Model, System
2. Linear and Nonlinear Continuous Time Systems
3. Linear and Nonlinear Discrete Time Systems
4. Qualitative Properties of Nonlinear Systems, Bifurcation and Chaos
5. Realization of SISO Systems
6. Composite Systems
7. Stability and Robustness
8. Reachability and Observability
9. Decomposition and Realization, Order Reduction
10. State Feedback
11. State Observers. Separation Principle
12. Output Feedback
13. Uncertainty and its Descriptrion. Stochastic Systems
14. Properties of Output Stochastic Signal. Realization Theorem
Exercises outlines
The aim of the laboratories is to explain theory presented by the lectures and to solve given problem using MATLAB.
1. Introduction and Repetition
2. Dynamical Properties of Continuous and Discrete Time Systems
3. Examples of Economic, Ecologic and Technical Systems
4. Qualitative Analysis of Nonlinear Systems
5. Discrete Time Systems. Chaotical Behavior of Systems
6. Linear Systems, Linearization, Realization
7. Composite Systems
8. Criterions of Stability, Robust Stability Criterion
9. Criterions of Controllability and Observability
10. System Order Reduction,
11. Examples how to Change Dynamic Properties of System
12. State Observer Design
13. Analysis of Stochastic Systems
14. Realization of Random Signals
Literature
[1] Kailath, T.: Linear Systems. Prentice Hall, Englewood Cliffs, New York,
1980
[2] Antsaklis, P.J., Michel, A.N.: Linear Systems. The McGraw-Hill Co., 1997
Requirements
Basic knowledge of Linear algebra, Basic knowledge of control theory.