Control of magnetic levitation system using recurrent neural network-based adaptive optimal backstepping strategy

Robust chattering-free optimal sliding-mode control using recurrent neural networks: An H∞-based approach

(2019) Hamid Toshani et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Adaptive Neural-Fuzzy Robust Position Control Scheme for Maglev Train Systems With Experimental Verification

(2019) Yougang Sun et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Finite-time command filtered backstepping control for a class of nonlinear systems

(2018) Jinpeng Yu et al.   AUTOMATICA

T-S Fuzzy Model Based Output Feedback Tracking Control with Control Input Saturation

(2018) Yan Yu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Sliding mode control with deep learning method for rotor trajectory control of active magnetic bearing system

(2018) Xuan Yao et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

A state observer for sensorless control of magnetic levitation systems

(2018) Alexey A. Bobtsov et al.   AUTOMATICA

Internal model control for reduction of bias and harmonic currents in hybrid magnetic bearing

(2018) Xiangbo Xu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Constrained generalised minimum variance controller design using projection-based recurrent neural network

(2017) Hamid Toshani et al.   IET Control Theory and Applications

A recurrent neural network with finite-time convergence for convex quadratic bilevel programming problems

(2017) Jiqiang Feng et al.   NEURAL COMPUTING & APPLICATIONS

Modeling and control with neural networks for a magnetic levitation system

(2017) José de Jesús Rubio et al.   NEUROCOMPUTING

A novel neural network for solving convex quadratic programming problems subject to equality and inequality constraints

(2016) Xinjian Huang et al.   NEUROCOMPUTING

Finite-time recurrent neural networks for solving nonlinear optimization problems and their application

(2016) Peng Miao et al.   NEUROCOMPUTING

Robust time-varying output tracking control in the presence of actuator saturation

(2016) Tahereh Binazadeh et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Uncertainty and disturbance estimator-assisted control of a two-axis active magnetic bearing

(2016) Alon Kuperman   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems

(2016) Youshen Xia et al.   IEEE Transactions on Neural Networks and Learning Systems

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

(2015) Yemei Qin et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

A one-layer recurrent neural network for constrained nonconvex optimization

(2015) Guocheng Li et al.   NEURAL NETWORKS

A Projection Neural Network for Constrained Quadratic Minimax Optimization

(2015) Qingshan Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

Model Predictive Control of Nonholonomic Chained Systems Using General Projection Neural Networks Optimization

(2015) Zhijun Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Fractional order control of unstable processes: the magnetic levitation study case

(2014) Cristina I. Muresan et al.   NONLINEAR DYNAMICS

Compensation of gap sensor for high-speed maglev train with RBF neural network

(2013) Yongzhi Jing et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

A Recurrent Neural Network for Solving Bilevel Linear Programming Problem

(2013) Xing He et al.   IEEE Transactions on Neural Networks and Learning Systems

Explicit nonlinear predictive control for a magnetic levitation system

(2010) A. Ulbig et al.   ASIAN JOURNAL OF CONTROL

Design of backstepping particle-swarm-optimisation control for maglev transportation system

(2010) R.J. Wai et al.   IET Control Theory and Applications

Robust Dynamic Sliding-Mode Control Using Adaptive RENN for Magnetic Levitation System

(2009) Faa-Jeng Lin et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints

(2008) Youshen Xia et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Real-time control of a magnetic levitation device based on instantaneous modeling of magnetic field

(2008) Ehsan Shameli et al.   MECHATRONICS

Infinity-norm acceleration minimization of robotic redundant manipulators using the LVI-based primal–dual neural network

(2008) Yunong Zhang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming

(2007) Qingshan Liu et al.   NEURAL COMPUTATION