2013
DOI: 10.1109/iccas.2013.6703896
View full text
|
|
Share
Tianqi Liu, Danwei Wang, Ronghu Chi

Abstract: In this paper, a neural network based terminal iterative learning control (NNTILC) method is proposed for a class of discrete time uncertain linear systems to track run-varying reference point. The zero error initial condition in most of the previous work on terminal iterative learning control (TILC) is removed by the use of neural network. A radial basis function (RBF) neural network is developed to approximate the effect of initial state and reference on terminal output iteratively. By involving these infor…

expand abstract