DocumentCode :
3470156
Title :
Robust control design for ellipsoidal plant set
Author :
Lau, Ming K. ; Boyd, Stephen ; Kosut, Robert L. ; Franklin, Gene F.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
fYear :
1991
fDate :
11-13 Dec 1991
Firstpage :
291
Abstract :
Presents a control design method for continuous-time plants whose uncertain parameters in the output matrix are only known to lie in an ellipsoidal set. The desired control is chosen to minimize the maximum linear quadratic regulator (LQR) cost from all the plants with parameters in the given set. Although no particular form is assumed for the minimax control, it turns out that it is the LQR control for one of the plants in the set, the worst-case plant. By defining an appropriate mapping, which maps an element from the given ellipsoidal set to an element of the same set, the existence of this worst-case plant is proved. A simple heuristic algorithm to compute the worst-case plant is also given
Keywords :
control system synthesis; matrix algebra; optimal control; set theory; continuous-time plants; control design method; control system synthesis; ellipsoidal plant set; maximum linear quadratic regulator; minimax control; optimal control; uncertain parameters; worst-case plant; Control design; Costs; Finite impulse response filter; Game theory; Heuristic algorithms; Information systems; Minimax techniques; Optimal control; Regulators; Robust control; Robust stability; Uncertain systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
Type :
conf
DOI :
10.1109/CDC.1991.261308
Filename :
261308
Link To Document :
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