DocumentCode
834885
Title
Iterative learning control synthesis based on 2-D system theory
Author
Kurek, Jerzy E. ; Zaremba, Marek B.
Author_Institution
Dept. d´´Inf., Quebec Univ., Hull, Que., Canada
Volume
38
Issue
1
fYear
1993
fDate
1/1/1993 12:00:00 AM
Firstpage
121
Lastpage
125
Abstract
An algorithm is presented for iterative learning of the control input for a linear discrete-time multivariable system. Necessary and sufficient conditions are stated for convergence of the proposed algorithm. The algorithm synthesis and analysis are based on two-dimensional (2-D) system theory. A numerical example is given
Keywords
control system analysis; control system synthesis; convergence; discrete time systems; iterative methods; learning systems; linear systems; multidimensional systems; multivariable control systems; 2-D system theory; control system analysis; control system synthesis; convergence; iterative learning; linear discrete-time multivariable system; Algorithm design and analysis; Control system synthesis; Control systems; Convergence; Iterative algorithms; MIMO; Manipulators; Proportional control; Robots; Sufficient conditions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.186321
Filename
186321
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