Displacement-Constrained Neural Network Control of Maglev Trains Based on a Multi-Mass-Point Model

Displacement-Constrained Neural Network Control of Maglev Trains Based on a Multi-Mass-Point Model

To address the safety displacement-constrained control problem of maglev trains during operation, this study applied the radial-based neural network control displacement-constrained method to maglev trains based on the multi-mass-point model, and strictly limited the output of maglev train displacem...

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Bibliographic Details
Main Authors: Pan, H. (Author), Wang, H. (Author), Yu, C. (Author), Zhao, J. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Constrained controls
Displacement signals
maglev train
Maglev Train
Magnetic levitation
Magnetic levitation vehicles
Multi-mass point
multi-mass points
Neural network control
Neural-networks
Point models
radial-based neural network
Radial-based neural network
restricted control
Restricted control
Velocity signals
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