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A robust adaptive law for l1-α modeling errors

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1 Author(s)
Gang Tao ; Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA

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 l1+α¯ (α⩽α¯<∞) and converges to zero asymptotically

Published in:

Decision and Control, 1997., Proceedings of the 36th IEEE Conference on  (Volume:5 )

Date of Conference:

10-12 Dec 1997