Based on Sliding Mode and Adaptive Linear Active Disturbance Rejection Control for a Magnetic Levitation System

Design of Optimal Sliding Mode Control of Elbow Wearable Exoskeleton System Based on Whale Optimization Algorithm

(2022) Zharaa A. Waheed et al.   Journal Europeen des Systemes Automatises

Experiments with Neural Networks in the Identification and Control of a Magnetic Levitation System Using a Low-Cost Platform

(2021) Bruno E. Silva et al.   Applied Sciences-Basel

Deep learning controller design of embedded control system for maglev train via deep belief network algorithm

(2020) Ding-gang Gao et al.   DESIGN AUTOMATION FOR EMBEDDED SYSTEMS

Magnetic levitation using diamagnetism: Mechanism, applications and prospects

(2020) QiuHua Gao et al.   Science China-Technological Sciences

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

(2020) Armita Fatemimoghadam et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control

(2020) Zhouxiang Wei et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

RBF Neural Network-Based Supervisor Control for Maglev Vehicles on an Elastic Track With Network Time Delay

(2020) Yougang Sun et al.   IEEE Transactions on Industrial Informatics

Adaptive sliding mode control of maglev system based on RBF neural network minimum parameter learning method

(2019) Yougang Sun et al.   MEASUREMENT

A High-Precision Control Scheme Based on Active Disturbance Rejection Control for a Three-Axis Inertially Stabilized Platform for Aerial Remote Sensing Applications

(2018) Xiangyang Zhou et al.   Journal of Sensors

Modeling and control with neural networks for a magnetic levitation system

(2017) José de Jesús Rubio et al.   NEUROCOMPUTING

Fuzzy control of nonlinear electromagnetic suspension systems

(2013) Xiaojie Su et al.   MECHATRONICS