Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces
In this paper a decoupled sliding-mode with fuzzy neural networks controller for a chaotic nonlinear system is presented. The fuzzy neural network (FNN) is the main regulator controller, which is used to approximate an ideal computational controller. Using Lyapunov law, we derive the decoupled slidi...
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| Format: | Conference or Workshop Item |
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2008
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| Online Access: | http://shdl.mmu.edu.my/2968/ |
| _version_ | 1848790198077358080 |
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| author | Seyed Alireza, Mohseni Seyed Mohammadreza, Mohseni |
| author_facet | Seyed Alireza, Mohseni Seyed Mohammadreza, Mohseni |
| author_sort | Seyed Alireza, Mohseni |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | In this paper a decoupled sliding-mode with fuzzy neural networks controller for a chaotic nonlinear system is presented. The fuzzy neural network (FNN) is the main regulator controller, which is used to approximate an ideal computational controller. Using Lyapunov law, we derive the decoupled sliding-mode control law and the related parameters adaptive law of FNN. Using this approach, the response of system will converge faster than that of previous reports. |
| first_indexed | 2025-11-14T18:08:48Z |
| format | Conference or Workshop Item |
| id | mmu-2968 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:48Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-29682011-09-29T07:05:10Z http://shdl.mmu.edu.my/2968/ Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces Seyed Alireza, Mohseni Seyed Mohammadreza, Mohseni T Technology (General) QA75.5-76.95 Electronic computers. Computer science In this paper a decoupled sliding-mode with fuzzy neural networks controller for a chaotic nonlinear system is presented. The fuzzy neural network (FNN) is the main regulator controller, which is used to approximate an ideal computational controller. Using Lyapunov law, we derive the decoupled sliding-mode control law and the related parameters adaptive law of FNN. Using this approach, the response of system will converge faster than that of previous reports. 2008-06 Conference or Workshop Item NonPeerReviewed Seyed Alireza, Mohseni and Seyed Mohammadreza, Mohseni (2008) Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces. In: IEEE International Symposium on Industrial Electronics, 30 JUN-02 JUL 2008 , Cambridge, ENGLAND. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=P1b4ICfofOPAd8Fa4Fi&page=100&doc=999 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Seyed Alireza, Mohseni Seyed Mohammadreza, Mohseni Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces |
| title | Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces |
| title_full | Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces |
| title_fullStr | Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces |
| title_full_unstemmed | Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces |
| title_short | Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces |
| title_sort | fuzzy neural networks controller for a chaotic nonlinear gyro using sliding-mode surfaces |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2968/ http://shdl.mmu.edu.my/2968/ |