Title :
Model reference adaptive control for nonminimum phase multivariable systems by periodic feedback
Author :
Miyasato, Yoshihiko
Author_Institution :
Inst. of Stat. Math., Tokyo, Japan
Abstract :
The author proposes a design method for constructing discrete-time model reference adaptive control systems for nonminimum-phase multivariable systems. In the method, not only the poles, but also the zeros and even the interactor matrices of the controlled systems are relocated by using the periodic feedback control laws with multirate sampling. Since no cancellation of zeros occurs, the stable model reference adaptive control systems can be constructed for nonminimum-phase multivariable systems with unknown interactor matrices. The uniform boundedness of the control inputs and the convergence of the output errors are established
Keywords :
discrete time systems; feedback; model reference adaptive control systems; multivariable control systems; poles and zeros; convergence; discrete-time model reference adaptive control systems; interactor matrices; multirate sampling; nonminimum phase multivariable systems; periodic feedback; poles; uniform boundedness; zeros; Adaptive control; Control system synthesis; Control systems; Convergence; Design methodology; Error correction; Feedback control; MIMO; Mathematics; Poles and zeros; Sampling methods;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371515
