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Strong Robust and Optimal Chaos Control for Permanent Magnet Linear Synchronous Motor

To effectively solve the chaotic phenomenon problem in permanent magnet linear synchronous motor (PMLSM), this paper presents a novel control scheme combining radial basis function neural network (RBFNN), adaptive backstepping method, and particle swarm optimization (PSO) algorithm. By applying a fe...

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Principais autores: Jiangao Ye, Junhua Yang, Dongshen Xie, Baozhou Huang, Haoran Cai
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2019-01-01
Serier:IEEE Access
Fag:
Chaos control
Lyapunov stability
permanent magnet linear synchronous machine
particle swarm optimization
radial basis function neural network
Online adgang:https://ieeexplore.ieee.org/document/8701697/
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