Adaptive Iterative Learning Control for a Class of Nonlinear Time-varying Systems with Unknown Delays and Input Dead-zone

作     者：Jianming Wei Yunan Hu Meimei Sun 

作者机构：the Department of Control EngineeringNaval Aeronautical Engineering Institute 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2014年第1卷第3期

页      面：302-314页

核心收录：

学科分类：0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China  (6067409) 

主　　题：Time-varying systems Delays Adaptive systems Learning (artificial intelligence) Nonlinear systems Trajectory Iterative methods 

摘      要：This paper presents an adaptive iterative learning control(AILC) scheme for a class of nonlinear systems with unknown time-varying delays and unknown input dead-zone.A novel nonlinear form of dead-zone nonlinearity is *** assumption of identical initial condition for iterative learning control(ILC) is removed by introducing boundary layer *** uncertainties with time-varying delays are compensated for by using appropriate Lyapunov-Krasovskii functional and Young’s *** basis function neural networks are used to model the time-varying *** hyperbolic tangent function is employed to avoid the problem of *** to the property of hyperbolic tangent function,the system output is proved to converge to a small neighborhood of the desired trajectory by constructing Lyapunov-like composite energy function(CEF) in two cases,while keeping all the closedloop signals ***,a simulation example is presented to verify the effectiveness of the proposed approach.