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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=577790