Title :
Multi-model adaptive control for discrete time systems
Author :
Li, Xiaoli ; Wang, Wei ; Wang, Shuning
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
A multi-model adaptive control approach is proposed to improve the performance of adaptive control of discrete time invariant plant or time variant plant with jumping parameters and bounded disturbances. Multiple models of the plant are set up to cover the uncertainties of the plant dynamics. The localization method is used to reduce the computation burden of the multiple model algorithm. It is proved that the closed loop system is stable when multi-model pole assignment controller is used to a linear time-invariant plant with unknown parameters. The simulation results are given to show the usefulness of the proposed method
Keywords :
adaptive control; closed loop systems; discrete time systems; linear systems; pole assignment; stability; SISO systems; adaptive control; closed loop system; discrete time system; jumping parameters; linear time invariant systems; multiple model control; pole assignment; stability; Adaptive control; Automation; Closed loop systems; Computational modeling; Control systems; Discrete time systems; Error correction; Programmable control; Stability; State estimation;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945745
