Optimal And Robust Control

The course is not on the list Without time-table

Code	Completion	Credits	Range	Language
335ORR	Z,ZK	4	3+1	Czech

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Faculty of Transportation Sciences

Synopsis:

Static optimization. Optimal control. Dynamic programming. LQ-optimal control via variational calculus, Riccati equations. Time optimal control. H2 and Hinfinity optimal control via game theory. H-infinity loopshaping. Mu-synthesis. Model order reduction. Linear matrix inequalities and semidefinite programming in control.

Requirements:

Linear algebra: matrices, linear systems of equations, eigenvalues/eigenvectors, singular value decomposition. Integral transforms: Laplace, Fourier, z-transform. Basic control design techniques: stability, frequency-domain design, PID control.

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Teach how to design advanced optimal and robust control systems. Build strong background in mathematical techniques needed for modification and extensions of existing techniques.

Study materials:

[1] F. L. Lewis and V. L. Syrmos.Optimal Control. Wiley-Interscience, 2.vydání, 1995.

[2] S. Skogestad, I. Postlethwaite. Multivariable Feedback Control: Analysis and Design. John

Wiley & Sons, 2.vydání, 2005.

[3] M. Green and D. J. N. Limebeer. Linear Robust Control. Prentice Hall, London, 1994

Note:

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No time-table has been prepared for this course

The course is a part of the following study plans: