Title :
Robust adaptive control with reduced knowledge of unmodeled dynamics
Author_Institution :
Dept. of Electr. & Comput. Eng., Washington State Univ., Pullman, WA, USA
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;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.203384