Adaptive Intelligent Backstepping Synchronization Control of Uncertain Chaotic Systems

碩士 === 健行科技大學 === 電機工程所 === 101 === Since chaotic systems are important nonlinear deterministic systems that display complex, noisy-like and unpredictable behavior, so how to synchronize chaotic system becomes a great deal in engineering community. This study proposes an adaptive intelligent backs...

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Main Authors: Hsing-Yueh Cho, 卓興越
Other Authors: 彭椏富
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/25763693823934223875
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spelling ndltd-TW-101CYU054420012016-03-16T04:14:34Z http://ndltd.ncl.edu.tw/handle/25763693823934223875 Adaptive Intelligent Backstepping Synchronization Control of Uncertain Chaotic Systems 混沌系統之適應性智慧型步階迴歸同步控制 Hsing-Yueh Cho 卓興越 碩士 健行科技大學 電機工程所 101 Since chaotic systems are important nonlinear deterministic systems that display complex, noisy-like and unpredictable behavior, so how to synchronize chaotic system becomes a great deal in engineering community. This study proposes an adaptive intelligent backsteeping synchronization control (AIBSC) system for synchronizing uncertain chaotic system. In the proposed AIBSC system, the Takagi-Sugeno-Kang type recurrent cerebellar model articulation controller (TSKRCMAC) is the principal tracking controller designed to mimic the ideal backstepping synchronization control (IBSC) law, and the robust controller is used to achieve robust performance with desired attenuation level. Finally, the numerical simulations for the Genesio chaotic system and the Sprott circuit system are presented to illustrate the effectiveness of the proposed synchronization control strategy. 彭椏富 2013 學位論文 ; thesis 91 zh-TW
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language zh-TW
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description 碩士 === 健行科技大學 === 電機工程所 === 101 === Since chaotic systems are important nonlinear deterministic systems that display complex, noisy-like and unpredictable behavior, so how to synchronize chaotic system becomes a great deal in engineering community. This study proposes an adaptive intelligent backsteeping synchronization control (AIBSC) system for synchronizing uncertain chaotic system. In the proposed AIBSC system, the Takagi-Sugeno-Kang type recurrent cerebellar model articulation controller (TSKRCMAC) is the principal tracking controller designed to mimic the ideal backstepping synchronization control (IBSC) law, and the robust controller is used to achieve robust performance with desired attenuation level. Finally, the numerical simulations for the Genesio chaotic system and the Sprott circuit system are presented to illustrate the effectiveness of the proposed synchronization control strategy.
author2 彭椏富
author_facet 彭椏富
Hsing-Yueh Cho
卓興越
author Hsing-Yueh Cho
卓興越
spellingShingle Hsing-Yueh Cho
卓興越
Adaptive Intelligent Backstepping Synchronization Control of Uncertain Chaotic Systems
author_sort Hsing-Yueh Cho
title Adaptive Intelligent Backstepping Synchronization Control of Uncertain Chaotic Systems
title_short Adaptive Intelligent Backstepping Synchronization Control of Uncertain Chaotic Systems
title_full Adaptive Intelligent Backstepping Synchronization Control of Uncertain Chaotic Systems
title_fullStr Adaptive Intelligent Backstepping Synchronization Control of Uncertain Chaotic Systems
title_full_unstemmed Adaptive Intelligent Backstepping Synchronization Control of Uncertain Chaotic Systems
title_sort adaptive intelligent backstepping synchronization control of uncertain chaotic systems
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/25763693823934223875
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