Electronics, Communication & Automation Technology

Boundary Layer-Based Iterative Learning Control for a Class of Uncertain Systems

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  • School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
李向阳(1969-),男,博士,副教授,主要从事学习控制、嵌入式系统和工业自动化研究.

Received date: 2014-05-14

  Revised date: 2014-10-15

  Online published: 2015-02-10

Supported by

Supported by the National Natural Science Foundation of China(NSFC)(61374104) and the Natural Science Foundation of Guangdong Province of China(S2012010009675)

Abstract

For a class of uncertain nonlinear time-varying systems with arbitrary initial states and aperiodic bounded disturbance,an iterative learning control (ILC) method on the basis of boundary layer is presented. In this me-thod,boundary layer is designed as a decaying exponential function with residual width,the arbitrary initial state problem of ILC is transformed into a zero initial state problem by the designed boundary layer,and learning laws of periodic and aperiodic terms are designed for periodic and aperiodic disturbances,respectively. On the basis of these two laws,an ILC algorithm is presented,and the corresponding theorem is given with detail proof through Lyapunov-like approach. Simulated results show that the proposed algorithm is effective and is capable of conver-ging trajectory tracking errors to boundary layer.

Cite this article

Li Xiang-yang Tian Sen-ping . Boundary Layer-Based Iterative Learning Control for a Class of Uncertain Systems[J]. Journal of South China University of Technology(Natural Science), 2015 , 43(3) : 103 -110 . DOI: 10.3969/j.issn.1000-565X.2015.03.016

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