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Almost sure convergence of iterative learning control for stochastic systems
Chen, HF
2003-02-01
Source PublicationSCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
ISSN1009-2757
Volume46Issue:1Pages:67-79
AbstractThis 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.
Keyworditerative learning control stochastic system a.s. convergence tracking stochastic approximation
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000181456200006
PublisherSCIENCE CHINA PRESS
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/19080
Collection系统科学研究所
Corresponding AuthorChen, HF
AffiliationChinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100080, Peoples R China
Recommended Citation
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.
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