Hao Fu

Orcid: 0000-0001-6456-3839

Affiliations:
  • Wuhan University of Science and Technology, Wuhan, China


According to our database1, Hao Fu authored at least 16 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Offline spatial-temporal actor-critic learning for robot crowd navigation without behavior regularization.
Intell. Serv. Robotics, January, 2026

2024
Event-Triggered Cooperative Tracking Control of Multiagent Systems With a Dynamic Leader via Approximate Dynamic Programming.
IEEE Trans. Artif. Intell., June, 2024

Path-Following Navigation in Crowds With Deep Reinforcement Learning.
IEEE Internet Things J., June, 2024

2022
Observer-Based Adaptive Synchronization Control of Unknown Discrete-Time Nonlinear Heterogeneous Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022

Data-Based Optimal Synchronization Control for Discrete-Time Nonlinear Heterogeneous Multiagent Systems.
IEEE Trans. Cybern., 2022

Dual ML-ADHDP method for heterogeneous discrete-time nonlinear multi-agent systems with unknown dynamics and time delay.
J. Frankl. Inst., 2022

Distributed synchronisation control of unknown nonlinear systems with an active leader.
Int. J. Control, 2022

2021
Distributed Optimal Observer Design of Networked Systems via Adaptive Critic Design.
IEEE Trans. Syst. Man Cybern. Syst., 2021

MRAC Based Consensus Control for Heterogeneous Discrete-Time Nonlinear Multi Agent Systems Under Switching Typology with Unknown Dynamics.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Model-Free Distributed Consensus Control Based on Actor-Critic Framework for Discrete-Time Nonlinear Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Model-Free Output Consensus Control for Partially Observable Heterogeneous Multivehicle Systems.
IEEE Internet Things J., 2020

MRAC for unknown discrete-time nonlinear systems based on supervised neural dynamic programming.
Neurocomputing, 2020

Model-free Output Consensus Control for Nonlinear Multi-agent Systems with Random Disturbance.
Proceedings of the IEEE Conference on Industrial Cyberphysical Systems, 2020

2019
Data-driven adaptive dynamic programming for partially observable nonzero-sum games via Q-learning method.
Int. J. Syst. Sci., 2019

2018
Localization of Substation Fittings Based on a Stereo Vision Method.
J. Adv. Comput. Intell. Intell. Informatics, 2018

2017
A model reference adaptive control with ADP-to-SMC strategy for unknown nonlinear systems.
Proceedings of the 11th Asian Control Conference, 2017


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