Optimal Iterative Learning Control for Nonlinear Discrete-Time Systems

Author

Xu, Hongwei ; Huang, Yanyan

Author_Institution

Coll. of Mech. & Electr. Eng., China Jiliang Univ, Hangzhou, China

Volume

1

fYear

2010

fDate

5-6 June 2010

Firstpage

190

Lastpage

193

Abstract

In this paper, the problem about optimal iterative learning control of general nonlinear discrete-time systems has been studied. Based on contraction mapping principle, if some mild assumptions are given, we can obtain some sufficient conditions for the existence of optimal iterative learning control of general nonlinear discrete-time systems. These conditions are generalizations of the existence conditions of optimal iterative learning control of linear discrete-time systems.

Keywords

adaptive control; discrete time systems; iterative methods; learning systems; nonlinear control systems; optimal control; contraction mapping principle; linear discrete-time systems; nonlinear discrete-time systems; optimal iterative learning control; Control systems; Educational institutions; Industrial engineering; Iterative algorithms; Iterative methods; Linear systems; Nonlinear control systems; Nonlinear systems; Optimal control; Sufficient conditions; Iterative Learning Control; Optimal Control; algorithm; contraction mapping principle; general nonlinear discrete-time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-4026-9

Type

conf

DOI

10.1109/CCIE.2010.56

Filename

5492065