DocumentCode :
577790
Title :
Discrete-time stochastic iterative learning control: A brief survey
Author :
Shen, Dong ; Xiong, Gang
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
2624
Lastpage :
2629
Abstract :
This note gives a brief survey on discrete-time stochastic iterative learning control (SILC) from three aspects, namely, SILC for linear system, nonlinear system and system with other stochastic signal. Two major approaches, stochastic Kalman filtering approach and stochastic approximation approach, for SILC are proposed. Some open questions are also included.
Keywords :
discrete time systems; iterative methods; learning (artificial intelligence); nonlinear systems; stochastic systems; SILC; discrete time stochastic iterative learning control; nonlinear system; stochastic Kalman filtering; stochastic approximation; stochastic signal; Convergence; Covariance matrix; Indexes; Linear systems; Noise; Nonlinear systems; Stochastic processes; Discrete-time Stochastic System; Iterative Learning Control; Linear System; Nonlinear System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358316
Filename :
6358316
Link To Document :
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