DocumentCode :
306918
Title :
Worst case l to l gain minimization: dynamic versus static state feedback
Author :
Blanchini, Franco ; Sznaier, Mario ; Miani, Stefano
Author_Institution :
Dipartimento di Matematica e Inf., Udine Univ., Italy
Volume :
3
fYear :
1996
fDate :
11-13 Dec 1996
Firstpage :
2395
Abstract :
It has been recently shown that for the problem of optimal rejection of persistent disturbances using full-state feedback, static nonlinear controllers can recover the performance level achieved by any linear dynamic controller. In this paper we complement these results by showing that for this problem nonlinear dynamic time-varying finite dimensional, possibly discontinuous, compensators do not offer any advantage over memoryless time invariant nonlinear-compensators. Moreover, we show that the best possible (over the set of all stabilizing controllers) disturbance rejection can be achieved by using globally Lipschitz piecewise-linear controllers
Keywords :
compensation; memoryless systems; multidimensional systems; nonlinear dynamical systems; optimal control; piecewise-linear techniques; robust control; state feedback; time-varying systems; Lipschitz piecewise-linear controllers; disturbance rejection; l gain minimization; memoryless time invariant nonlinear-compensators; nonlinear dynamic compensator; optimal control; stabilizing controllers; state feedback; time-varying finite dimensional systems; Computer aided software engineering; Control systems; Design engineering; Linear feedback control systems; Optimal control; Piecewise linear techniques; Size measurement; State feedback; Time domain analysis; Time invariant systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
ISSN :
0191-2216
Print_ISBN :
0-7803-3590-2
Type :
conf
DOI :
10.1109/CDC.1996.573447
Filename :
573447
Link To Document :
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