Electromagnetic suspension: new results using neural networks-Reference-Cited by-同舟云学术

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Electromagnetic suspension: new results using neural networks

Published:1993-11 Issue:6 Volume:29 Page:2971-2973
ISSN:0018-9464
Container-title:IEEE Transactions on Magnetics
language:
Short-container-title:IEEE Trans. Magn.

Author:

Sinha P.K.,Hadjiiski L.M.,Zhou F.B.,Kutiyal R.S.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx1/20/7921062/00280900.pdf?arnumber=280900

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The feasibility of designing a back propagation neural network to predict the levitation force of high-temperature superconducting magnetic levitation;Superconductor Science and Technology;2022-03-03

2. Gaussian process dynamic modeling and backstepping sliding mode control for magnetic levitation system of maglev train;Journal of Theoretical and Applied Mechanics;2021-12-14

3. Backstepping Sliding Mode Control for Magnetic Suspension System of Maglev Train with Parameter Perturbations and External Disturbance;Lecture Notes in Electrical Engineering;2021-09-24

4. Model predictive control of a magnetic levitation system using two-level state feedback;Measurement and Control;2020-04-13

5. Neural Network-Based Adaptive Control for EMS Type Maglev Vehicle Systems with Time-Varying Mass;Neural Computing for Advanced Applications;2020

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