DocumentCode :
312707
Title :
Adaptive estimation and control of linear systems with nonlinear parametrization
Author :
Loh, Ai-Poh ; Annaswamy, Anuradha M.
Author_Institution :
Dept. of Mech. Eng., MIT, Cambridge, MA, USA
Volume :
4
fYear :
1997
fDate :
4-6 Jun 1997
Firstpage :
2364
Abstract :
Deals with the adaptive estimation and control of linear systems with general nonlinear parametrizations of a scalar parameter. Adaptive controllers for such systems when states are accessible, as well as adaptive observers when only input and output are measurable are presented. Both are shown to be globally stable by making use of two tuning functions derived from a min-max optimization strategy
Keywords :
adaptive control; adaptive estimation; linear systems; minimax techniques; observers; tuning; adaptive observers; global stability; linear systems; min-max optimization strategy; nonlinear parametrization; tuning functions; Adaptive control; Adaptive estimation; Adaptive systems; Control systems; Linear systems; Nonlinear control systems; Nonlinear dynamical systems; Observers; Programmable control; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
ISSN :
0743-1619
Print_ISBN :
0-7803-3832-4
Type :
conf
DOI :
10.1109/ACC.1997.609102
Filename :
609102
Link To Document :
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