Hao Xu
Orcid: 0000-0003-4130-7925Affiliations:
- University of Nevada Reno, Department of Electrical and Biomedical Engineering, NV, USA
- Texas A&M University-Corpus Christi, College of Science and Engineering / Unmanned Systems Research Laboratory, TX, USA (2014 - 2016)
- NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (2012 - 2014)
- Missouri University of Science and Technology, Department of Electrical and Computer Engineering, Rolla, MO, USA (PhD 2012)
According to our database1,
Hao Xu
authored at least 103 papers
between 2011 and 2023.
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Bibliography
2023
Two-Stage Online Reinforcement Learning based Distributed Optimal Resource Allocation for Multiple RIS-assisted Mobile Ad-Hoc Network.
Proceedings of the International Conference on Computing, Networking and Communications, 2023
Reinforcement Learning based Optimal Dynamic Resource Allocation for RIS-aided MIMO Wireless Network with Hardware Limitations.
Proceedings of the International Conference on Computing, Networking and Communications, 2023
Intelligent Distributed Charging Control for Large Scale Electric Vehicles: A Multi-Cluster Mean Field Game Approach.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023
Joint Optimal Placement and Dynamic Resource Allocation for multi-UAV Enhanced Reconfigurable Intelligent Surface Assisted Wireless Network.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems.
IEEE Trans. Cybern., 2022
Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation.
Knowl. Based Syst., 2022
Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning.
Neurocomputing, 2022
IEEE Access, 2022
Decentralized Adaptive Tracking Control For Large-Scale Multi-Agent Systems Under Unstructured Environment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Optimal Resource Allocation for Reconfigurable Intelligent Surface Assisted Dynamic Wireless Network via Online Reinforcement Learning.
Proceedings of the IEEE International Conference on Sensing, Communication, and Networking, 2022
Data-Enabled Learning based Intelligent Resource Allocation for Multi-RIS Assisted Dynamic Wireless Network.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
2021
Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game.
IEEE Trans. Neural Networks Learn. Syst., 2021
Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices.
Trans. Inst. Meas. Control, 2021
A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements.
IEEE Trans. Instrum. Meas., 2021
Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games.
Proceedings of the International Joint Conference on Neural Networks, 2021
Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
2020
Discrete-Time Self-Triggered Control of DC Microgrids With Data Dropouts and Communication Delays.
IEEE Trans. Smart Grid, 2020
IEEE Trans. Ind. Informatics, 2020
A biologically-inspired reinforcement learning based intelligent distributed flocking control for Multi-Agent Systems in presence of uncertain system and dynamic environment.
IFAC J. Syst. Control., 2020
IET Cyper-Phys. Syst.: Theory & Appl., 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment.
Proceedings of the 2020 American Control Conference, 2020
2019
Distributed Control of Inverter-Interfaced Microgrids Based on Consensus Algorithm With Improved Transient Performance.
IEEE Trans. Smart Grid, 2019
A neurobiologically-inspired intelligent trajectory tracking control for unmanned aircraft systems with uncertain system dynamics and disturbance.
Trans. Inst. Meas. Control, 2019
Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections.
IET Cyper-Phys. Syst.: Theory & Appl., 2019
Multi-Autonomous Robot Enhanced Ad-Hoc Network under Uncertain and Vulnerable Environment.
IEICE Trans. Commun., 2019
A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance.
Eng. Appl. Artif. Intell., 2019
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning.
CoRR, 2019
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Global Optimal Path Planning for Multi-agent Flocking: A Multi-Objective Optimization Approach with NSGA-III.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
MSNET-Blockchain: A New Framework for Securing Mobile Satellite Communication Network.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019
Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory.
Proceedings of the 2019 IEEE Military Communications Conference, 2019
A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
Multi-Robot Enhanced Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment.
Proceedings of the International Conference on Computing, Networking and Communications, 2019
Game Theoretic Based Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment and Unknown Interference.
Proceedings of the International Conference on Computing, Networking and Communications, 2019
Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Q-Learning-Based Damping Control of Wide-Area Power Systems Under Cyber Uncertainties.
IEEE Trans. Smart Grid, 2018
Event-triggered and self-triggered wide-area damping control designs under uncertainties.
Trans. Inst. Meas. Control, 2018
Power Converters Based Advanced Experimental Platform for Integrated Study of Power and Controls.
IEEE Trans. Ind. Informatics, 2018
Distributed Control of Inverter-Interfaced Microgrids With Bounded Transient Line Currents.
IEEE Trans. Ind. Informatics, 2018
Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Brain Emotional Learning-Based Path Planning and Intelligent Control Co-Design for Unmanned Aerial Vehicle in Presence of System Uncertainties and Dynamic Environment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
A Game Theoretic Based Biologically-Inspired Distributed Intelligent Flocking Control for Multi-UAV Systems with Network Imperfections.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Multi-Robot Enhanced MANET Routing with Situation Aware Online Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Multi-Robot Enhanced MANET Intelligent Routing at Uncertain and Vulnerable Tactical Edge.
Proceedings of the 2018 IEEE Military Communications Conference, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017
Optimal self-triggered control and network co-design for networked multi-agent system via adaptive dynamic programming.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A biologically-inspired intelligent controller for distributed velocity control of multiple electro-hydraulic servo-systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Deep reinforecement learning based optimal defense for cyber-physical system in presence of unknown cyber-attack.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Event triggered distributed adaptive consensus control for high-order nonlinear multi-agent systems in presence of system uncertainties.
Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017
Low-computation dynamic generation of distributed connectivity control for varying sized multi-agent systems.
Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017
Near optimal control and network co-design for uncertain networked control system with constraints.
Proceedings of the 2017 American Control Conference, 2017
Brain Emotional Learning-Based Intelligent Controller for flocking of Multi-Agent Systems.
Proceedings of the 2017 American Control Conference, 2017
2016
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2016
Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2016
Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2016
Finite horizon optimal control and communication co-design for uncertain networked control system with transmit power constraint.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Model-free Q-learning optimal resource allocation in uncertain communication networks.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Distributed Optimal Flocking Design for Multi-agent Two-Player Zero-Sum Games with Unknown System Dynamics and Disturbance.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016
2015
Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015
Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint.
IEEE Trans. Neural Networks Learn. Syst., 2015
Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Instrum. Meas., 2015
Event-based neural network approximation and control of uncertain nonlinear continuous-time systems.
Proceedings of the American Control Conference, 2015
2014
Localization of Near-Field Radio Controlled Unintended Emitting Sources in the Presence of Multipath Fading.
IEEE Trans. Instrum. Meas., 2014
J. Control. Decis., 2014
Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Near optimal boundary control of distributed parameter systems modeled as parabolic pdes by using finite difference neural network approximation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Fixed final-time near optimal regulation of nonlinear discrete-time systems in affine form using output feedback.
Proceedings of the American Control Conference, 2014
Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems.
Proceedings of the American Control Conference, 2014
Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems.
Proceedings of the American Control Conference, 2014
Model-free Q-learning over finite horizon for uncertain linear continuous-time systems.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
Neural network-based adaptive optimal consensus control of leaderless networked mobile robots.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
Neural network dynamic progamming constrained control of distributed parameter systems governed by parabolic partial differential equations with application to diffusion-reaction processes.
Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014
2013
Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2013
Fixed Final Time Optimal Adaptive Control of Linear Discrete-Time Systems in Input-Output form.
J. Artif. Intell. Soft Comput. Res., 2013
Finite Horizon Adaptive Optimal Distributed Power Allocation for Enhanced Cognitive Radio Network in the Presence of Channel Uncertainties
CoRR, 2013
Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Neural network based finite horizon stochastic optimal controller design for nonlinear networked control systems.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics.
Proceedings of the American Control Conference, 2013
Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data.
Proceedings of the American Control Conference, 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
Finite horizon stochastic optimal control of uncertain linear networked control system.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
Finite-horizon optimal adaptive neural network control of uncertain nonlinear discrete-time systems.
Proceedings of the 2013 IEEE International Symposium on Intelligent Control, 2013
Neural network-based adaptive event-triggered control of nonlinear continuous-time systems.
Proceedings of the 2013 IEEE International Symposium on Intelligent Control, 2013
2012
Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses.
Autom., 2012
A cross layer approach to the novel distributed scheduling protocol and event-triggered controller design for Cyber Physical Systems.
Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012
Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Optimal adaptive controller scheme for uncertain quantized linear discrete-time system.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
2011
Stochastic optimal control design for nonlinear networked control system via neuro dynamic programming using input-output measurements.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Stochastic optimal control of unknown linear networked control system using Q-learning methodology.
Proceedings of the American Control Conference, 2011
Model-free H∞ stochastic optimal design for unknown linear networked control system zero-sum games via Q-learning.
Proceedings of the 2011 IEEE International Symposium on Intelligent Control, 2011