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一类非线性系统的迭代学习控制
引用本文:沈栋,陈翰馥. 一类非线性系统的迭代学习控制[J]. 系统科学与数学, 2008, 28(9): 1053-1064
作者姓名:沈栋  陈翰馥
作者单位:中国科学院数学与系统科学研究院,北京,100190
基金项目:国家自然科学基金(60221301)资助课题
摘    要:讨论一类非线性系统的迭代学习控制,系统的非线性动态对状态不快于多项式增长,而量测方程含有噪声.控制序列并非直接输给系统,而是先经过死区、预载及饱和等非线性函数.递推地给出了学习控制序列,并证明它的有界性及最优跟踪性.

关 键 词:非线性系统  迭代学习控制  量测噪声  死区  预载  饱和  随机逼近
收稿时间:2008-05-19

Iterative Learning Control for a Class of Nonlinear Systems
SHEN Dong,CHEN Hanfu. Iterative Learning Control for a Class of Nonlinear Systems[J]. Journal of Systems Science and Mathematical Sciences, 2008, 28(9): 1053-1064
Authors:SHEN Dong  CHEN Hanfu
Affiliation:Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190
Abstract:The iterative learning control (ILC) is considered for a class of nonlinear systems, for which the dynamic nonlinearity grows up not faster than a polynomial as the state diverges and the observation equation is corrupted by noise. The control sequence cannot directly feed to the system but first has to pass through a nonlinear function such as the dead-zone, pre-load, and saturation etc. The iterative learning control sequence is recursively defined, and its boundedness and optimal tracking property are proved in the paper.
Keywords:Nonlinear system  iterative learning control  measurement noise  dead-zone  pre-load  saturation  stochastic approximation.
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