Title of article
Decentralized iterative learning control for a class of large scale interconnected dynamical systems
Author/Authors
Hansheng Wu، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2007
Pages
13
From page
233
To page
245
Abstract
The problem of decentralized iterative learning control for a class of large scale interconnected dynamical
systems is considered. In this paper, it is assumed that the considered large scale dynamical systems
are linear time-varying, and the interconnections between each subsystem are unknown. For such a class
of uncertain large scale interconnected dynamical systems, a method is presented whereby a class of decentralized
local iterative learning control schemes is constructed. It is also shown that under some given
conditions, the constructed decentralized local iterative learning controllers can guarantee the asymptotic
convergence of the local output error between the given desired local output and the actual local output
of each subsystem through the iterative learning process. Finally, as a numerical example, the system coupled
by two inverted pendulums is given to illustrate the application of the proposed decentralized iterative
learning control schemes.
© 2006 Elsevier Inc. All rights reserved
Keywords
Iterative learning control , Large scale systems , Asymptotictracking control , Decentralized Control , Convergence analysis , Pendulums
Journal title
Journal of Mathematical Analysis and Applications
Serial Year
2007
Journal title
Journal of Mathematical Analysis and Applications
Record number
935331
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