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
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
Journal title :
Journal of Mathematical Analysis and Applications