|
Lecturer(s)
|
-
Dušek František, doc. Ing. CSc.
|
|
Course content
|
Modern control system using state space description, pole placement, principles of robust, adaptive and nonlinear control, theory of estimation. Signal analysis in control systems, covariance function, and spectral behavior. Signal filtration. Adaptive control with on-line identification. Stochastic system control - minimum variance control, linear quadratic control, Kalman's estimator. Control of nonlinear systems - typical nonlinearities in control loops, method of equivalence transfer functions. Control of multi input multi output (MIMO) systems - MIMO controllers, distributed control, autonomous and invariant systems. Principle of robust and predictive control. Logic control and fuzzy control.
|
|
Learning activities and teaching methods
|
|
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities, Demonstration
|
|
Learning outcomes
|
The goal of subject is to familiarize students with modern control systems based on both new hardware (computers, microcontrollers, numerically processing signals circuits) and new algorithms for signal processing. The students will have the newest knowledge in this area and they will be able to continue after entering to practice.
Another knowledge and information in Advanced control theory
|
|
Prerequisites
|
The knowledge of MATLAB/SIMULINK using The knowledge from subject Control system theory
|
|
Assessment methods and criteria
|
Oral examination, Written examination
40 % written part of the exam 60% oral part of exam
|
|
Recommended literature
|
-
HAVLENA, V., ŠTĚCHA, J. Moderní teorie řízení. Praha: ČVUT, 2000. ISBN 80-01-02095-9.
-
Shinners, S. M. Advanced Modern Control System Theory and Design, John Wiley and Sons, Inc., NY, 1998. Wiley, 1998. ISBN 0471-31857-4.
|