Yunlang Xu

Orcid: 0000-0002-6513-8436

According to our database1, Yunlang Xu authored at least 19 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Adaptive parameter learning and neural network control for uncertain permanent magnet linear synchronous motors.
J. Frankl. Inst., November, 2023

A composite neural network-based adaptive sliding mode control method for reluctance actuator maglev system.
Neural Comput. Appl., July, 2023

Fuzzy adaptive terminal sliding mode control based on recurrent neural network compensation for a maglev system.
Eng. Appl. Artif. Intell., 2023

Analytical Modelling of a Hybrid Reluctance Motor Based on Magnetic Equivalent Circuit.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022
A Dynamic Opposite Learning-Assisted Grey Wolf Optimizer.
Symmetry, 2022

Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem.
Knowl. Based Syst., 2022

Improving teaching-learning-based-optimization algorithm by a distance-fitness learning strategy.
Knowl. Based Syst., 2022

An improved teaching-learning-based optimization algorithm with a modified learner phase and a new mutation-restarting phase.
Knowl. Based Syst., 2022

2021
Generalized Inverse Multiplicative Structure for Differential-Equation-Based Hysteresis Models.
IEEE Trans. Ind. Electron., 2021

Corrigendum to "Dynamic opposite learning enhanced teaching-learning-based optimization" [Knowl.-Based Syst. 188 (2020) 104966].
Knowl. Based Syst., 2021

An improved antlion optimizer with dynamic random walk and dynamic opposite learning.
Knowl. Based Syst., 2021

An enhanced differential evolution algorithm with a new oppositional-mutual learning strategy.
Neurocomputing, 2021

Performance assessment and tuning of PID control using TLBO: the single-loop case and PI/P cascade case.
CoRR, 2021

A Co-Optimization Method of Actuators/Sensors Placement and LQG Controller for Vibration Suppression.
IEEE Access, 2021

Multi-Kernel Neural Network Sliding Mode Control for Permanent Magnet Linear Synchronous Motors.
IEEE Access, 2021

Fractional-Order Sliding Mode Control with Adaptive Neural Network for High-Precision Position Control of Reluctance Actuators.
Proceedings of the IECON 2021, 2021

2020
Dynamic opposite learning enhanced teaching-learning-based optimization.
Knowl. Based Syst., 2020

An Optimal Actuator Placement Method for Direct-drive Stages to Maximize Control Bandwidth.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
A direct inverse hysteresis model and its application in reluctance actuators.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019


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