Title :
Fuzzy neural networks controller for a chaotic nonlinear gyro using sliding-mode surfaces
Author :
Mohseni, Seyed Alireza ; Mohseni, Seyed Mohammadreza
Author_Institution :
Dept. of Eng., Multimedia Univ., Cyberjaya
fDate :
June 30 2008-July 2 2008
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.
Keywords :
Lyapunov methods; adaptive control; fuzzy control; fuzzy neural nets; gyroscopes; neurocontrollers; nonlinear control systems; variable structure systems; Lyapunov law; adaptive law; chaotic nonlinear gyros; computational controller; decoupled sliding-mode surfaces; fuzzy neural networks controller; regulator controller; Chaos; Computer networks; Control systems; Fuzzy control; Fuzzy neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Regulators; Sliding mode control; Fuzzy Neural Network; Gyro; Sliding surfaces;
Conference_Titel :
Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-1665-3
Electronic_ISBN :
978-1-4244-1666-0
DOI :
10.1109/ISIE.2008.4676884
