Title:Modeling and control with neural networks for a magnetic levitation systemAuthor(s):Jose de Jesus Rubio,  Lixian Zhang,  Edwin Lughofer,  Panuncio Cruz,  Ahmed Alsaedi,  Tasawar HayetAbstract:This study presents the model and control of the magnetic levitation system. The model considers the angular position of the ball, also a neural network approximates the electromagnetic parameter. The neural network controller is the combination of a nonlinear method and a neural network, also its stability is guaranteed by utilizing the Lyapunov method. The proposed controller is compared with the two stages controller for the trajectory tracking in the magnetic levitation system.Journal:NeurocomputingPublisher:ElsevierISSN:1872-8286Page Reference:page 113-121, 9 page(s)Publishing:2016Volume:227

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