Hao Sun

Orcid: 0000-0002-9730-0063

Affiliations:
  • Nankai University, College of Artificial Intelligence, Tianjin, China (PhD 2019)


According to our database1, Hao Sun authored at least 18 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Tightly Coupled Lidar-Inertial-GPS Environment Detection and Landing Area Selection Based on Powered Parafoil UAV.
IEEE Trans. Instrum. Meas., 2025

Dynamic Path Planning for Parafoil Homing in Surface Wind Disturbance Environment.
IEEE Trans Autom. Sci. Eng., 2025

High-feasibility parafoil dynamic formation real-time adaptive trajectory planning based on ABC-MASAC in complex environments.
Neurocomputing, 2025

2024
Learning-based acoustic displacement field modeling and micro-particle control.
Expert Syst. Appl., March, 2024

2023
Deep reinforcement learning based active disturbance rejection load frequency control of multi-area interconnected power systems with renewable energy.
J. Frankl. Inst., November, 2023

Intelligent Trajectory Tracking Control of Unmanned Parafoil System Based on SAC Optimized LADRC.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adaptive Load Frequency Control and Optimization Based on TD3 Algorithm and Linear Active Disturbance Rejection Control.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Prediction and Analysis of Acoustic Displacement Field Using the Method of Neural Network.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
A Novel Chaotic Fractional-Order Beetle Swarm Optimization Algorithm and Its Application for Load-Frequency Active Disturbance Rejection Control.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Accurate Modeling and Homing Control for Parafoil Delivery System Based on Wind Disturbance Rejection.
IEEE Trans. Aerosp. Electron. Syst., 2022

Longitudinal wind field prediction based on DDPG.
Neural Comput. Appl., 2022

Wind-field identification for parafoils based on deep Q-learning iterative inversion.
Inf. Sci., 2022

2021
Deep Q-Network based real-time active disturbance rejection controller parameter tuning for multi-area interconnected power systems.
Neurocomputing, 2021

Power System Load Frequency Active Disturbance Rejection Control via Reinforcement Learning-Based Memetic Particle Swarm Optimization.
IEEE Access, 2021

2020
Accurate Homing of Parafoil Delivery Systems Based Glide-Ratio Control.
IEEE Trans. Aerosp. Electron. Syst., 2020

2019
Flexible modelling and altitude control for powered parafoil system based on active disturbance rejection control.
Int. J. Syst. Sci., 2019

2018
A hybrid control approach for powered parafoil combining active disturbance rejection control and unbalanced load compensation.
J. Syst. Control. Eng., 2018

Lateral control approach of powered parafoils combining wind feedforward compensation with active disturbance rejection control.
Proceedings of the 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2018


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