DocumentCode :
1688807
Title :
Convex analysis and global optimization of output convariance constraint problems
Author :
Geromel, J.C. ; Debeche, M.S.J.
Author_Institution :
LAC-DT/FEE, Univ. Estadual de Campinas, Sao Paulo, Brazil
Volume :
3
fYear :
1994
Firstpage :
2603
Abstract :
This paper addresses the problem of designing state or observer-based output feedback controllers for continuous time linear system, subject to output covariance matrix constraints. In a case when the state is available for feedback, the above problem can also be solved taking into account parameter uncertainties which are assumed to belong to convex bounded domains. The basic problem under consideration is converted into a convex programming problem which is solved by two different but equivalent procedures (primal and dual versions). The numeric behavior of both procedures are compared with those available in the literature to date
Keywords :
continuous time systems; convex programming; covariance matrices; duality (mathematics); feedback; linear quadratic control; linear systems; nonlinear programming; observers; state-space methods; continuous time linear system; convex analysis; convex bounded domains; convex programming; dual method; global optimization; linear quadratic control; observer-based output feedback controllers; output covariance matrix constraints; parameter uncertainties; primal method; Constraint optimization; Control systems; Covariance matrix; Linear feedback control systems; Linear systems; Output feedback; State feedback; Transfer functions; Uncertain systems; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
Type :
conf
DOI :
10.1109/CDC.1994.411538
Filename :
411538
Link To Document :
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