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Bien, Zeungnam
Intelligent Robot Control System Lab
Research Interests
  • Intelligent Control
  • Learning System Methodologies
  • Assistive Robotics
  • Smart Home System

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

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Title
DECENTRALIZED ITERATIVE LEARNING CONTROL METHODS FOR LARGE-SCALE LINEAR DYNAMIC-SYSTEMS
Author
HWANG, DHKIM, BKBien, Zeungnam
Keywords
STABILIZATION
Issue Date
1993-12
Publisher
TAYLOR & FRANCIS LTD
Citation
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, v.24, no.12, pp.2239 - 2254
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.
URI
https://scholarworks.unist.ac.kr/handle/201301/9181
DOI
10.1080/00207729308949626
ISSN
0020-7721
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