Adaptive Iterative Learning Control for Nonlinearly Parameterized Systems with Unknown Time-varying Delay and Unknown Control Direction

作     者：Dan Li Jun-Min Li Department of Mathematics,Xidian University,Xi an 710071,China 

作者机构：Department of Mathematics Xidian University Xi’an China 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2012年第9卷第6期

页      面：578-586页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 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] 

基　　金：supported by National Natural Science Foundation of China (No. 60974139) Fundamental Research Funds for the Central Universities (No. 72103676) 

主　　题：Nonlinearly time-varying parameterized systems unknown time-varying delay unknown control direction composite energy function adaptive iterative learning control. 

摘      要：This paper proposes a new adaptive iterative learning control approach for a class of nonlinearly parameterized systems with unknown time-varying delay and unknown control *** employing the parameter separation technique and signal replacement mechanism,the approach can overcome unknown time-varying parameters and unknown time-varying delay of the nonlinear *** incorporating a Nussbaum-type function,the proposed approach can deal with the unknown control direction of the nonlinear *** on a Lyapunov-Krasovskii-like composite energy function,the convergence of tracking error sequence is achieved in the iteration ***,two simulation examples are provided to illustrate the feasibility of the proposed control method.