Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947951 | Neurocomputing | 2017 | 28 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
José de Jesús Rubio, Lixian Zhang, Edwin Lughofer, Panuncio Cruz, Ahmed Alsaedi, Tasawar Hayat,