Title :
Adaptive iterative learning control for uncertain delay systems based on model matching technique
Author :
Haixia Su ; Yingmin Jia ; Junping Du ; Fashan Yu
Author_Institution :
Dept. of Syst. & Control, Beihang Univ. (BUAA), Beijing, China
fDate :
June 29 2011-July 1 2011
Abstract :
In this paper, an adaptive iterative learning con trol(ILC) scheme is proposed for trajectory tracking of un certain delay systems based on model matching technique. The reference model is a delay system operating over in a finite time interval. An iterative model matching controller is designed and an iteration domain adaptive law is chosen to estimate the unknown parameters. It shows that the model matching technique can be applied in a straightforward method to ILC problem. A simulation example is included to illustrate the designed scheme.
Keywords :
adaptive control; control system synthesis; delays; iterative methods; learning systems; uncertain systems; adaptive iterative learning control; finite time interval; model matching technique; reference model; straightforward method; trajectory tracking; uncertain delay systems; Adaptation models; Adaptive systems; Delay effects; Delay systems; Polynomials;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991099