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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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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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. |
format | Article |
id | doaj-art-26fe563c851f46bc84feacb50282d3f6 |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
record_format | Article |
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 |