Hao Fu
Orcid: 0000-0001-6456-3839Affiliations:
- 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:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
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
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
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
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