DocumentCode
313153
Title
Exponential convergence conditions for passive learning control
Author
Farrell, Jay
Author_Institution
Coll. of Eng., California Univ., Riverside, CA, USA
Volume
3
fYear
1997
fDate
4-6 Jun 1997
Firstpage
1809
Abstract
This article analyzes the stability of both the system state and parameter estimates in passive learning control applications. The main focus of this study is persistence of excitation conditions for approximators with locally supported basis elements. This article derives the conditions, studies salient convergence related issues, and derives lower bounds on the convergence rate
Keywords
adaptive control; convergence; learning systems; nonlinear control systems; parameter estimation; stability; state estimation; convergence rate lower bounds; excitation persistence conditions; exponential convergence conditions; locally supported basis elements; parameter estimates; passive learning control; stability; state estimates; Adaptive control; Control systems; Convergence; Educational institutions; Linear systems; Nonlinear control systems; Nonlinear dynamical systems; Parameter estimation; Stability analysis; State estimation;
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.1997.610897
Filename
610897
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