Title :
A disk “optimal” robust pole assignment using genetic algorithms
Author :
Franzé, G. ; Muraca, P.
Author_Institution :
DEIS, Calabria Univ., Italy
Abstract :
This paper presents a method for determining the maximum allowable perturbation, for a MIMO linear time-invariant uncertain system, such that the closed loop poles are assigned in a specified disk by static output feedback; the uncertainty being norm-2 bounded. A sufficient condition for d-stabilizability is derived. Hence, in order to solve the related optimization problem a genetic-like algorithm is performed. An illustrative example shows the effectiveness of the proposed procedure
Keywords :
MIMO systems; closed loop systems; feedback; genetic algorithms; multivariable control systems; optimal control; pole assignment; robust control; stability criteria; uncertain systems; GA; LTI system; MIMO linear time-invariant uncertain system; closed loop poles; d-stabilizability condition; disk optimal robust pole assignment; genetic algorithms; genetic-like algorithm; maximum allowable perturbation; norm-2 bounded uncertainty; static output feedback; Continuous time systems; Control systems; Genetic algorithms; Output feedback; Riccati equations; Robustness; Sufficient conditions; Symmetric matrices; Uncertain systems; Uncertainty;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.911991
