DocumentCode :
776454
Title :
Adaptive control of a simple nonlinear system without a priori information on the plant parameters
Author :
Lozano, Rogelio ; Brogliato, Bernard
Author_Institution :
Univ. de Technol. de Compiegne, France
Volume :
37
Issue :
1
fYear :
1992
fDate :
1/1/1992 12:00:00 AM
Firstpage :
30
Lastpage :
37
Abstract :
The authors present an adaptive control scheme for nonlinear systems of the form x=c*Tf(x)+b*u, where f(x) is Lipschitz, c* is a constant vector, and b* is a constant scalar. The control scheme achieves asymptotical model matching without a priori knowledge of the sign of the b* gain. The adaptive scheme is free from singularities in the sense that the estimate of b*, entering in the denominator of the control law, is bounded away from zero. The singularity has been overcome through a suitable modification of the parameter estimates which is based on standard least squares covariance matrix properties
Keywords :
adaptive control; matrix algebra; nonlinear systems; parameter estimation; Lipschitz; adaptive control; asymptotical model matching; least squares covariance matrix; nonlinear system; parameter estimation; Adaptive control; Control systems; Covariance matrix; Frequency; Least squares approximation; Linear systems; Nonlinear control systems; Nonlinear systems; Parameter estimation; Programmable control;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.109636
Filename :
109636
Link To Document :
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