Almost sure convergence of iterative learning control for stochastic systems

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	Almost sure convergence of iterative learning control for stochastic systems
	Chen, HF
	2003-02-01
发表期刊	SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
ISSN	1009-2757
卷号	46 期号:1 页码:67-79
摘要	This paper proposes an iterative learning control (ILC) algorithm with the purpose of controling the,output of a linear stochastic system presented in state space form to track a desired realizable trajectory. It is proved that the algorithm converges to the optimal one a.s. under the condition that the product input-output coupling matrices are full-column rank in addition to some assumptions on noises. No other knowledge about system matrices and covariance matrices is required.
关键词	iterative learning control stochastic system a.s. convergence tracking stochastic approximation
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000181456200006
出版者	SCIENCE CHINA PRESS
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/19080
专题	系统科学研究所
通讯作者	Chen, HF
作者单位	Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Chen, HF. Almost sure convergence of iterative learning control for stochastic systems[J]. SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,2003,46(1):67-79.
APA	Chen, HF.(2003).Almost sure convergence of iterative learning control for stochastic systems.SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,46(1),67-79.
MLA	Chen, HF."Almost sure convergence of iterative learning control for stochastic systems".SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES 46.1(2003):67-79.