ME 561 - Convex Methods in Control
|Convex Methods in Control||ME561||B||52251||LCD||4||1000 - 1150||M W||1047 Sidney Lu Mech Engr Bldg||Geir E Dullerud|
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Detailed Course Description
Use of convex optimization in analysis and control of dynamical systems; robust control methods and the use of semidefinite programming; linear matrix inequalities, operator theory, model reduction, H-2 and H-infinity optimal control, S-procedure and integral quadratic constraints, structured singular value and mu-synthesis, and Markovian jump systems; applications in control design. Prerequisite: ECE 515.
TEXTBOOK: Dullerud, G. E. and F. Paganini, A Course in Robust Control Theory: A Convex Approach, 2000, New York: Springer-Verlag.
2. Semidefinite programming and sum-of-squares
3. Gramians and balanced realizations
4. Model reduction
5. Stabilization theory
6. H2 synthesis
7. H-infinity synthesis
8. Decentralized and distributed control theory