DocumentCode :
1462303
Title :
A robust adaptive law for l/sup 1+/spl alpha// modeling errors
Author :
Tao, Gang
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Volume :
44
Issue :
1
fYear :
1999
Firstpage :
186
Lastpage :
190
Abstract :
A new adaptive parameter update law is proposed for discrete-time model reference adaptive control to ensure robustness with respect to l 1+α (1≤α<∞) parameter variations and disturbances in the sense that all closed-loop signals are bounded and the tracking error belongs to l 1+α (α≤α~<∞) and converges to zero asymptotically.
Keywords :
adaptive control; closed loop systems; discrete time systems; linear systems; model reference adaptive control systems; robust control; closed-loop systems; discrete-time systems; linear systems; model reference adaptive control; modeling errors; robust control; robustness; stability; tracking error; Adaptive control; Error correction; Least squares approximation; Least squares methods; Noise generators; Programmable control; Robust control; Robust stability; Robustness; System identification;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.739126
Filename :
739126
Link To Document :
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