DocumentCode :
1188737
Title :
Robust adaptive regulation with minimal prior knowledge
Author :
Giri, Fouad ; M´Saad, Mohammed ; Dugard, Luc ; Dion, Jean-Michel
Author_Institution :
Ecole Mohammadia d´´Ingenieurs, Rabat-Agdal, Morocco
Volume :
37
Issue :
3
fYear :
1992
fDate :
3/1/1992 12:00:00 AM
Firstpage :
305
Lastpage :
315
Abstract :
A robust adaptive regulator is designed under minimal prior knowledge, namely, the order of a nominal plant model (in a well defined sense). The involved robustness means that the closed-loop stability is guaranteed in the presence of some class of time-varying parameters and unmodeled dynamics. The main design feature of the proposed adaptive regulator consists in its self-excitation capability together with an appropriate identification-stabilization time splitting. Unlike in the available literature concerning robust adaptive control, the involved self-excitation is established independently of the parameter estimator properties. The use of the robustness-oriented modifications as deadzone and parameter projection or contraction, which are aimed at achieving the parameter estimates boundedness, is no longer required beforehand, thereby reducing the underlying prior knowledge
Keywords :
adaptive control; parameter estimation; stability; closed-loop stability; deadzone; minimal prior knowledge; parameter contraction; parameter estimator; parameter projection; robust adaptive regulator; self-excitation; time-varying parameters; unmodeled dynamics; Adaptive control; Algorithm design and analysis; Helium; Least squares approximation; Parameter estimation; Programmable control; Regulators; Robust control; Robust stability; Robustness;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.119630
Filename :
119630
Link To Document :
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