Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model-Reference-Cited by-同舟云学术

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Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model

Published:2015-10 Issue:10 Volume:352 Page:4309-4338
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Qin Yemei,Peng Hui^ORCID,Zhou Feng,Zeng Xiaoyong,Wu Jun

Funder

National Natural Science Foundation of China

International Science & Technology Cooperation Program of China

Collaborative Innovation Center of Resource-conserving & Environment-friendly Society and Ecological Civilization of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference33 articles.

1. Nonlinear model predictive control of a magnetic levitation system;Baechle;Control Eng. Pract.,2013

2. Review of dynamic stability of repulsive-force Maglev suspension systems;Rote;IEEE Trans. Magn.,2002

3. Feedback linearization and model reference adaptive control of a magnetic levitation system;Torres;Stud. Inform. Control,2012

4. Trajectory tracking for the magnetic ball levitation system via exact feedforward linearisation and GPI control;Morales;Int. J. Control,2010

5. Fuzzy-tuning PID controller for nonlinear electromagnetic levitation system;Luat,2014

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2. Servo turntable adaptive step size momentum projection identification algorithm based on ARX model;Journal of the Franklin Institute;2024-03

3. SD-ARX modeling and robust MPC with variable feedback gain for nonlinear systems;Measurement and Control;2023-12-22

4. Multi-Innovation Nesterov accelerated gradient parameter identification method for autoregressive exogenous models;Journal of Vibration and Control;2023-10-17

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