DECENTRALIZED ITERATIVE LEARNING CONTROL METHODS FOR LARGE-SCALE LINEAR DYNAMIC-SYSTEMS

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Decentralized iterative learning control methods are presented for a class of large scale interconnected linear dynamic systems, in which an iterative learning controller in each subsystem operates on its local subsystem exclusively with no exchange of information between subsystems. Sufficient conditions for convergence of the algorithms are given and numerical examples are illustrated to show the validity of the algorithms. In particular, the algorithms are useful for systems having large uncertainty of interconnected terms.
Publisher
TAYLOR FRANCIS LTD
Issue Date
1993-12
Language
English
Article Type
Article
Keywords

STABILIZATION

Citation

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, v.24, no.12, pp.2239 - 2254

ISSN
0020-7721
URI
http://hdl.handle.net/10203/60236
Appears in Collection
EE-Journal Papers(저널논문)
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