Title :
Iterative learning control for networked nonlinear systems using latest information
Author :
Shen, Dong ; Xu, Yun
Author_Institution :
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, P.R. China
Abstract :
The iterative learning control (ILC) algorithm is constructed for networked nonlinear systems with random measurement losses modeled by a stochastic sequence. The algorithm updates regularly when the corresponding measurement is available, while updates with the latest available packet from previous iterations if the corresponding one is lost. The almost sure convergence is strictly proved, and illustrative simulations verify the effectiveness of the proposed algorithm.
Keywords :
Convergence; Iterative learning control; Noise; Nonlinear systems; Packet loss; Stochastic processes; Iterative Learning Control; Networked Nonlinear System; Random Packet Loss;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260114
