Decentralized iterative learning control for a class of large scale interconnected dynamical systems

JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS

卷:327

Article

Wu, Hansheng

关键词: large scale systems;    decentralized control;    iterative learning control;    convergence analysis;    asymptotic tracking control;    pendulums;   

DOI  :  10.1016/j.jmaa.2006.03.092

来源: Elsevier

【 摘 要 】

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. (c) 2006 Elsevier Inc. All rights reserved.

【 授权许可】

Free