DocumentCode
2483734
Title
Minimum sensitivity in linear output feedback design
Author
Bavafa-toosi, Yazdan ; Khaki-sedigh, Ali
Author_Institution
Dept. of Math., Tech. Univ. Berlin, Germany
Volume
14
fYear
2002
fDate
2002
Firstpage
303
Lastpage
305
Abstract
Necessary and sufficient conditions for minimum sensitivity (highest robustness) to unstructured uncertainty in linear output feedback design are presented. The approach is analytical and simple, and the solution is explicit, in compact form, and restriction-free. Genetic algorithm is employed to implement the proposed method.
Keywords
closed loop systems; eigenvalues and eigenfunctions; feedback; genetic algorithms; multivariable control systems; closed-loop system; eigenvalues; genetic algorithm; linear output feedback design; minimum sensitivity; multivariable control; necessary and sufficient conditions; robustness; Eigenvalues and eigenfunctions; Genetic algorithms; Mathematics; Output feedback; Performance analysis; Performance gain; Robust control; Robustness; Symmetric matrices; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2002 Proceedings of the 5th Biannual World
Print_ISBN
1-889335-18-5
Type
conf
DOI
10.1109/WAC.2002.1049457
Filename
1049457
Link To Document