Decentralized Control of Uncertain Fuzzy Large-Scale System with Time Delay and Optimization
This paper studies the decentralized stabilization problem for an uncertain fuzzy large-scale system with time delays. The considered large-scale system is composed of several T-S fuzzy subsystems. The decentralized parallel distributed compensation (PDC) fuzzy control for each subsystem is designed...
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2012/246705 |
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doaj-1b940d5d4b114d108ef3b7825db0895d2020-11-24T23:46:32ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/246705246705Decentralized Control of Uncertain Fuzzy Large-Scale System with Time Delay and OptimizationHang Zhang0Xia Wang1Yi-Jun Wang2Zhao-Mei Sun3School of Information Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410075, ChinaThis paper studies the decentralized stabilization problem for an uncertain fuzzy large-scale system with time delays. The considered large-scale system is composed of several T-S fuzzy subsystems. The decentralized parallel distributed compensation (PDC) fuzzy control for each subsystem is designed to stabilize the whole system. Based on Lyapunov criterion, some sufficient conditions are proposed. Moreover, the positive definite matrices Pi and PDC gain Kij can be solved by linear matrix inequality (LMI) toolbox of Matlab. Then, the optimization design method for decentralized control is also considered with respect to a quadratic performance index. Finally, numerical examples are given and compared with those of Zhang et al., 2004 to illustrate the effectiveness and less conservativeness of our method.http://dx.doi.org/10.1155/2012/246705 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hang Zhang Xia Wang Yi-Jun Wang Zhao-Mei Sun |
spellingShingle |
Hang Zhang Xia Wang Yi-Jun Wang Zhao-Mei Sun Decentralized Control of Uncertain Fuzzy Large-Scale System with Time Delay and Optimization Journal of Applied Mathematics |
author_facet |
Hang Zhang Xia Wang Yi-Jun Wang Zhao-Mei Sun |
author_sort |
Hang Zhang |
title |
Decentralized Control of Uncertain Fuzzy Large-Scale System with Time Delay and Optimization |
title_short |
Decentralized Control of Uncertain Fuzzy Large-Scale System with Time Delay and Optimization |
title_full |
Decentralized Control of Uncertain Fuzzy Large-Scale System with Time Delay and Optimization |
title_fullStr |
Decentralized Control of Uncertain Fuzzy Large-Scale System with Time Delay and Optimization |
title_full_unstemmed |
Decentralized Control of Uncertain Fuzzy Large-Scale System with Time Delay and Optimization |
title_sort |
decentralized control of uncertain fuzzy large-scale system with time delay and optimization |
publisher |
Hindawi Limited |
series |
Journal of Applied Mathematics |
issn |
1110-757X 1687-0042 |
publishDate |
2012-01-01 |
description |
This paper studies the decentralized stabilization problem for an uncertain fuzzy large-scale system with time delays. The considered large-scale system is composed of several T-S fuzzy subsystems. The decentralized parallel distributed compensation (PDC) fuzzy control for each subsystem is designed to stabilize the whole system. Based on Lyapunov criterion, some sufficient conditions are proposed. Moreover, the positive definite matrices Pi and PDC gain Kij can be solved by linear matrix inequality (LMI) toolbox of Matlab. Then, the optimization design method for decentralized control is also considered with respect to a quadratic performance index. Finally, numerical
examples are given and compared with those of Zhang et al., 2004 to illustrate the effectiveness and less conservativeness
of our method. |
url |
http://dx.doi.org/10.1155/2012/246705 |
work_keys_str_mv |
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