Subject description - AE3M35TDS

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AE3M35TDS Theory of Dynamical Systems Extent of teaching:4P+2C
Guarantors:  Roles:P,V Language of
teaching:
EN
Teachers:  Completion:Z,ZK
Responsible Department:13135 Credits:8 Semester:Z

Anotation:

The purpose of this course is to introduce mathematical tools for the description, analysis, and partly also synthesis, of dynamical systems. The focus will be on linear time-invariant multi-input multi-output systems and their properties such as stability, controllability, observability and state realization. State feedback, state estimation, and the design of stabilizing controllers will be explained in detail. Partially covered will be also time-varying and nonlinear systems. Some of the tools introduced in this course are readily applicable to engineering problems such as the analysis of controllability and observability in the design of flexible space structures, the design of state feedback in aircraft control, and the estimation of state variables. The main motivation, however, is to pave the way for the advanced courses of the study program. The prerequsites for this course include undergraduate level linear algebra, differential equations, and Laplace and z transforms.

Course outlines:

1. Systems and signals. Linear and time-invariant systems. Differential and difference systems. The concept of state, state equations.
2. Solving the state equations, modes of the system. Equivalence of systems. Continuous-time, discrete-time, and sampled-data systems.
3. Lyapunov stability, exponential stability, internal and external stability properties of linear systems.
4. Reachability and controllability of systems.
5. Observability and constructibility of systems. Dual systems.
6. Standard forms for systems, Hautus' tests, Kalman's decomposition.
7. Internal and external descriptions of systems, impulse response and transfer function. Poles and zeros of systems.
8. State realizations of external descriptions. Minimal realizations, balanced realizations.
9. State feedback, state regulation, pole assignment, LQ regulator.
10. Output injection, state estimation, LQ estimator.
11. Interconnection of systems, feedback controllers, stabilizing controllers.
12. State representation of stabilizing controllers. Separation property of state regulation and estimation.

Exercises outline:

For each exercise session, a list of exercises from the previous lecture is made available that the student is requested to solve and deliver the solutions prior to the session. Each session begins by a short test, then the exercise solutions will be checked and discussed, and difficult points will be explained.

Literature:

P. J. Antsaklis, A.N. Michel: A Linear Systems Primer. Birkhäuser, Boston 2007. ISBN-3: 978-0-8176-4460-4

Requirements:

Webpage:

https://moodle.fel.cvut.cz/courses/AE3M35TDS

Subject is included into these academic programs:

Program Branch Role Recommended semester
MEKME1 Wireless Communication V 1
MEKME5 Systems of Communication V 1
MEKME4 Networks of Electronic Communication V 1
MEKME3 Electronics V 1
MEKME2 Multimedia Technology V 1
MEKYR1 Robotics P 1
MEKYR4 Aerospace Systems P 1
MEKYR3 Systems and Control P 1
MEKYR2 Sensors and Instrumentation P 1
MEOI1 Artificial Intelligence V 1
MEOI5NEW Software Engineering V 1
MEOI5 Software Engineering V 1
MEOI4 Computer Graphics and Interaction V 1
MEOI3 Computer Vision and Image Processing V 1
MEOI2 Computer Engineering V 1
MEEEM1 Technological Systems V 1
MEEEM5 Economy and Management of Electrical Engineering V 1
MEEEM4 Economy and Management of Power Engineering V 1
MEEEM3 Electrical Power Engineering V 1
MEEEM2 Electrical Machines, Apparatus and Drives V 1


Page updated 6.12.2019 17:52:32, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)