Title :
A robust adaptive law for l1-α modeling errors
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
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 l1+α¯ (α⩽α¯<∞) and converges to zero asymptotically
Keywords :
adaptive control; closed loop systems; discrete time systems; linear systems; model reference adaptive control systems; parameter estimation; robust control; adaptive control; closed-loop systems; discrete-time systems; linear systems; model reference adaptive control; modeling errors; parameter estimation; robust control; robustness; tracking error; Adaptive control; Electric variables measurement; Error correction; Feedback control; Integrated circuit modeling; Parameter estimation; Programmable control; Robust control; Robustness; Signal design;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.649720
