Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 29 Sep 2011 07:05
Last Modified: 29 Sep 2011 07:05
URI: http://shdl.mmu.edu.my/id/eprint/2968

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