Adaptive Fuzzy-Neural-Network Control for Maglev Transportation System

A magnetic-levitation (maglev) transportation system including levitation and propulsion control is a subject of considerable scientific interest because of highly nonlinear and unstable behaviors. In this paper, the dynamic model of a maglev transportation system including levitated electromagnets...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2008-01, Vol.19 (1), p.54-70
Hauptverfasser:	WAI, Rong-Jong, LEE, Jeng-Dao
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Adaptive control systems Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial intelligence Computer science control theory systems Control systems Design Electromagnetic modeling Electromagnets Exact sciences and technology Feedback Fuzzy Logic Fuzzy neural network (FNN) Ground, air and sea transportation, marine construction Humans linear induction motor (LIM) maglev transportation system Magnetic levitation magnetic levitation (maglev) Magnetic levitation systems Magnetic levitation vehicles Mathematical models Neural Networks (Computer) Nonlinear dynamical systems Nonlinear Dynamics Pattern Recognition, Automated Programmable control Sheet molding compounds Signal Processing, Computer-Assisted Sliding mode control sliding-mode control (SMC) Strategy Studies Theoretical computing Transportation Transportation systems Uncertainty
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