Title :
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
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;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
DOI :
10.1109/CCIE.2010.56
