Title :
Minimum sensitivity in linear output feedback design
Author :
Bavafa-toosi, Yazdan ; Khaki-sedigh, Ali
Author_Institution :
Dept. of Math., Tech. Univ. Berlin, Germany
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;
Conference_Titel :
Automation Congress, 2002 Proceedings of the 5th Biannual World
Print_ISBN :
1-889335-18-5
DOI :
10.1109/WAC.2002.1049457
