T-S Fuzzy Control of Uncertain Chaotic Vibration

We present in this paper a novel and unified control approach that combines intelligent fuzzy logic methodology with predictive method for controlling chaotic vibration of a class of uncertain chaotic systems. We first introduce prediction into each subsystem of Takagi Sugeno (T-S) fuzzy IF-THEN rul...

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Main Authors: Abdelkrim Boukabou, Noura Mansouri
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.3233/SAV-2010-0637
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author Abdelkrim Boukabou
Noura Mansouri
author_facet Abdelkrim Boukabou
Noura Mansouri
author_sort Abdelkrim Boukabou
collection DOAJ
description We present in this paper a novel and unified control approach that combines intelligent fuzzy logic methodology with predictive method for controlling chaotic vibration of a class of uncertain chaotic systems. We first introduce prediction into each subsystem of Takagi Sugeno (T-S) fuzzy IF-THEN rules and then present a unified T-S predictive fuzzy model for chaos control. The proposed controller can successfully stabilize the chaos and track the desired targets. The simulation results illustrate its effectiveness.
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institution Kabale University
issn 1070-9622
1875-9203
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publishDate 2012-01-01
publisher Wiley
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series Shock and Vibration
spelling doaj-art-26fe563c851f46bc84feacb50282d3f62025-02-03T01:11:03ZengWileyShock and Vibration1070-96221875-92032012-01-0119337938910.3233/SAV-2010-0637T-S Fuzzy Control of Uncertain Chaotic VibrationAbdelkrim Boukabou0Noura Mansouri1Department of Electronics, Jijel University, BP98 Ouled Aïssa, Jijel, AlgeriaDepartment of Electronics, Constantine University, RT Ain Elbey, Constantine, AlgeriaWe present in this paper a novel and unified control approach that combines intelligent fuzzy logic methodology with predictive method for controlling chaotic vibration of a class of uncertain chaotic systems. We first introduce prediction into each subsystem of Takagi Sugeno (T-S) fuzzy IF-THEN rules and then present a unified T-S predictive fuzzy model for chaos control. The proposed controller can successfully stabilize the chaos and track the desired targets. The simulation results illustrate its effectiveness.http://dx.doi.org/10.3233/SAV-2010-0637
spellingShingle Abdelkrim Boukabou
Noura Mansouri
T-S Fuzzy Control of Uncertain Chaotic Vibration
Shock and Vibration
title T-S Fuzzy Control of Uncertain Chaotic Vibration
title_full T-S Fuzzy Control of Uncertain Chaotic Vibration
title_fullStr T-S Fuzzy Control of Uncertain Chaotic Vibration
title_full_unstemmed T-S Fuzzy Control of Uncertain Chaotic Vibration
title_short T-S Fuzzy Control of Uncertain Chaotic Vibration
title_sort t s fuzzy control of uncertain chaotic vibration
url http://dx.doi.org/10.3233/SAV-2010-0637
work_keys_str_mv AT abdelkrimboukabou tsfuzzycontrolofuncertainchaoticvibration
AT nouramansouri tsfuzzycontrolofuncertainchaoticvibration