DocumentCode
3075158
Title
Robust adaptive control with reduced knowledge of unmodeled dynamics
Author
Tao, Gang
Author_Institution
Dept. of Electr. & Comput. Eng., Washington State Univ., Pullman, WA, USA
fYear
1990
fDate
5-7 Dec 1990
Firstpage
3214
Abstract
The author presents a robust model reference adaptive control (RMRAC) scheme for plants with unmodeled dynamics of unknown stability margin. To generate the normalizing signal used in the adaptive law for updating the controller parameters the RMRAC scheme uses a modified algorithm which does not need the knowledge of the stability margin of the unmodeled dynamics. The modified RMRAC scheme guarantees that the closed-loop plant is globally stable in the presence of unmodeled dynamics whose stability margin may be unknown, and the tracking error is bounded by the order of the unmodeled dynamics in the mean and reduces to zero asymptotically with time when the modeling error is absent
Keywords
adaptive control; closed loop systems; dynamics; model reference adaptive control systems; stability; MRAC; RMRAC; closed-loop plant; modeling error; robust model reference adaptive control; robustness; stability margin; unmodeled dynamics; Adaptive control; Algorithm design and analysis; Polynomials; RF signals; Robust control; Signal design; Signal generators; Stability; Transfer functions; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/CDC.1990.203384
Filename
203384
Link To Document