Title :
Iterative Learning Control for Uncertain Singular System
Author :
Piao, Fengxian ; Zhang, QingLing ; Wang, Zhefeng
Author_Institution :
Coll. of Sci., Northeastern Univ. Shenyang
Abstract :
In this paper, the problem of iterative learning control for fast subsystem with impulse is investigated based on the Weierstrass canonical form, the sufficient condition that guarantees the convergence of P-type learning law is derived. The uncertain single input single output singular system in the present of uncertainty is discussed, the method to choose the gain matrix that the actual output converge to desired trajectory as quickly as possible is given by optimization and genetic algorithm
Keywords :
adaptive control; genetic algorithms; iterative methods; learning systems; matrix algebra; uncertain systems; P-type learning law convergence; Weierstrass canonical form; fast subsystem; gain matrix; genetic algorithm; iterative learning control; optimization; uncertain singular system; Control systems; Convergence; Delay systems; Educational institutions; Genetic algorithms; Linear systems; Sufficient conditions; Tellurium; Trajectory; Uncertainty; convergence; impulse; iterative learning control; singular system; uncertainty;
Conference_Titel :
Information Acquisition, 2006 IEEE International Conference on
Conference_Location :
Weihai
Print_ISBN :
1-4244-0528-9
Electronic_ISBN :
1-4244-0529-7
DOI :
10.1109/ICIA.2006.305974
