Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model
type: Item
instance of: scholarly article
title: Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model
zbMATH Open document ID: 1395.93258
author: Yemei Qin
author: Hui Peng
author: Feng Zhou
author: Xiaoyong Zeng
author: Jun Wu
published in: Journal of the Franklin Institute
publication date: 2018-08-16T00:00:00Z
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93B18
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 93B15
zbMATH DE Number: 6919050
zbMATH Keywords: nonlinear modeling and control
zbMATH Keywords: magnetic levitation ball system
zbMATH Keywords: functional weight RBF network-based ARX model
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2015.06.014
OpenAlex ID: W843782545
cites work: Trajectory tracking for the magnetic ball levitation system via exact feedforward linearisation and GPI control
cites work: Adaptive neural control of stochastic nonlinear systems with unmodeled dynamics and time-varying state delays
cites work: Time series analysis using normalized PG-RBF network with regression weights
cites work: A numerically stable dual method for solving strictly convex quadratic programs
DOI: 10.1016/J.JFRANKLIN.2015.06.014
description: scientific article; zbMATH DE number 6919050