DocumentCode :
2667925
Title :
A Riccati equation approach to the optimal guaranteed cost control of uncertain systems with structured uncertainty
Author :
Esfahani, Said H. ; Petersen, Ian R.
Author_Institution :
Sch. of Electr. Eng., Australian Defence Force Acad., Canberra, ACT, Australia
fYear :
1999
fDate :
1999
Firstpage :
277
Lastpage :
282
Abstract :
In this paper, a Riccati equation approach is presented to construct the optimal quadratic guaranteed cost controller for uncertain systems. The uncertainty in the system is assumed to be norm bounded, time-varying and structured. The Riccati equation depends on a positive definite diagonal matrix. This matrix has the same structure as the uncertainty in the system. The paper presents a definition of convexity for matrix functions. Using this definition, it is proved that the stabilizing solution of the Riccati equation is a convex matrix function of the diagonal elements in the dependent matrix. Therefore, the optimal guaranteed cost controller can be found by carrying out a search with respect to the diagonal elements in the dependent matrix
Keywords :
Riccati equations; control system synthesis; matrix algebra; optimal control; time-varying systems; uncertain systems; Riccati equation; convex matrix function; dependent matrix; matrix function convexity; norm-bounded time-varying structured uncertainty; optimal guaranteed cost controller; optimal quadratic guaranteed cost controller; positive definite diagonal matrix; structured uncertainty; uncertain systems; Australia; Control systems; Cost function; Linear matrix inequalities; Optimal control; Riccati equations; Robust control; Uncertain systems; Uncertainty; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5256-4
Type :
conf
DOI :
10.1109/IDC.1999.754170
Filename :
754170
Link To Document :
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