Longda Wang

Orcid: 0000-0002-7226-5900

According to our database1, Longda Wang authored at least 14 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
An improved predictive function control algorithm via wavelet neural network for urban rail train tracking control.
Neurocomputing, 2025

Improved Active Disturbance Rejection Speed Tracking Control for High-Speed Trains Based on SBWO Algorithm.
Algorithms, 2025

Research on Dual-Loop ADRC for PMSM Based on Opposition-Based Learning Hybrid Optimization Algorithm.
Algorithms, 2025

Improved Directional Mutation Moth-Flame Optimization Algorithm via Gene Modification for Automatic Reverse Parking Trajectory Optimization.
Algorithms, 2025

2024
Automatic Vertical Parking Reference Trajectory Based on Improved Immune Shark Smell Optimization.
Algorithms, July, 2024

Improved Immune Moth-Flame Optimization Based on Gene Correction for Automatic Reverse Parking.
Sensors, April, 2024

Electric Vehicle Ordered Charging Planning Based on Improved Dual-Population Genetic Moth-Flame Optimization.
Algorithms, March, 2024

Ordered Charging Planning for Electric Vehicle Clusters in Tourist Attractions Based on Improved Moth-Flame Optimization Integrated With Genetic Mechanism.
IEEE Access, 2024

2023
Modified ADRC Design of Permanent Magnet Synchronous Motor Based on Improved Memetic Algorithm.
Sensors, April, 2023

2022
Automatic Parking Path Optimization Based on Immune Moth Flame Algorithm for Intelligent Vehicles.
Symmetry, 2022

An Improved Force Characteristic Curve Fitting Algorithm of Urban Rail Vehicles.
J. Sensors, 2022

Fault diagnosis of diesel engine information fusion based on adaptive dynamic weighted hybrid distance-taguchi method (ADWHD-T).
Appl. Intell., 2022

2020
Model Predictive Controller Based on Online Obtaining of Softness Factor and Fusion Velocity for Automatic Train Operation.
Sensors, 2020

2017
Multi-objective Optimization Improved GA Algorithm and Fuzzy PID Control of ATO System for Train Operation.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017


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