Model-free H∞ stochastic optimal design for unknown linear networked control system zero-sum games via Q-learning. - Hao Xu 002; Sarangapani Jagannathan (ISIC, 2011)

Stochastic optimal control of unknown linear networked control system using Q-learning methodology. - Hao Xu 002; Sarangapani Jagannathan (ACC, 2011)

Stochastic optimal control design for nonlinear networked control system via neuro dynamic programming using input-output measurements. - Hao Xu 002; Sarangapani Jagannathan (CDC/ECC, 2011)

Stochastic optimal controller design for unknown networked control system under TCP. - Hao Xu 002; Sarangapani Jagannathan (ACC, 2012)

Optimal adaptive controller scheme for uncertain quantized linear discrete-time system. - Qiming Zhao; Hao Xu 002; Sarangapani Jagannathan (CDC, 2012)

Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations. - Qiming Zhao; Hao Xu 002; Sarangapani Jagannathan (IJCNN, 2012)

A cross layer approach to the novel distributed scheduling protocol and event-triggered controller design for Cyber Physical Systems. - Hao Xu 002; Sarangapani Jagannathan (LCN, 2012)

Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses. - Hao Xu 002; Sarangapani Jagannathan; Frank L. Lewis (Autom., 2012)

Neural network-based adaptive event-triggered control of nonlinear continuous-time systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ISIC, 2013)

Finite-horizon optimal adaptive neural network control of uncertain nonlinear discrete-time systems. - Qiming Zhao; Hao Xu 002; Sarangapani Jagannathan (ISIC, 2013)

Finite horizon stochastic optimal control of uncertain linear networked control system. - Hao Xu 002; Sarangapani Jagannathan (ADPRL, 2013)

Finite-horizon optimal control design for uncertain linear discrete-time systems. - Qiming Zhao; Hao Xu 002; Sarangapani Jagannathan (ADPRL, 2013)

Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ACC, 2013)

Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ACC, 2013)

Solutions to finite horizon cost problems using actor-critic reinforcement learning. - Ivo Grondman; Hao Xu 002; Sarangapani Jagannathan; Robert Babuska (IJCNN, 2013)

Neural network based finite horizon stochastic optimal controller design for nonlinear networked control systems. - Hao Xu 002; Sarangapani Jagannathan (IJCNN, 2013)

Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems. - Qiming Zhao; Hao Xu 002; Travis Dierks; Sarangapani Jagannathan (IJCNN, 2013)

Finite Horizon Adaptive Optimal Distributed Power Allocation for Enhanced Cognitive Radio Network in the Presence of Channel Uncertainties - Hao Xu 002; Sarangapani Jagannathan (CoRR, 2013)

Fixed Final Time Optimal Adaptive Control of Linear Discrete-Time Systems in Input-Output form. - Qiming Zhao; Hao Xu 002; Sarangapani Jagannathan (J. Artif. Intell. Soft Comput. Res., 2013)

Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming. - Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2013)

Neural network dynamic progamming constrained control of distributed parameter systems governed by parabolic partial differential equations with application to diffusion-reaction processes. - Behzad Talaei; Hao Xu 002; Sarangapani Jagannathan (ISIC, 2014)

Neural network-based adaptive optimal consensus control of leaderless networked mobile robots. - Haci Mehmet Guzey; Hao Xu 002; Sarangapani Jagannathan (ADPRL, 2014)

Event-based optimal regulator design for nonlinear networked control systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ADPRL, 2014)

Model-free Q-learning over finite horizon for uncertain linear continuous-time systems. - Hao Xu 002; Sarangapani Jagannathan (ADPRL, 2014)

Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ACC, 2014)

Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems. - Hao Xu 002; Qiming Zhao; Travis Dierks; Sarangapani Jagannathan (ACC, 2014)

Fixed final-time near optimal regulation of nonlinear discrete-time systems in affine form using output feedback. - Qiming Zhao; Hao Xu 002; Sarangapani Jagannathan (ACC, 2014)

Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan; Travis Dierks (CDC, 2014)

Near optimal boundary control of distributed parameter systems modeled as parabolic pdes by using finite difference neural network approximation. - Behzad Talaei; Hao Xu 002; Sarangapani Jagannathan (CDC, 2014)

Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IJCNN, 2014)

Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint. - Hao Xu 002; Sarangapani Jagannathan (IJCNN, 2014)

Optimal regulation of uncertain dynamic systems using adaptive dynamic programming. - Hao Xu 002; Qiming Zhao; Sarangapani Jagannathan (J. Control. Decis., 2014)

Localization of Near-Field Radio Controlled Unintended Emitting Sources in the Presence of Multipath Fading. - Nurbanu Güzey; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Instrum. Meas., 2014)

Event-based neural network approximation and control of uncertain nonlinear continuous-time systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (ACC, 2015)

Localization of Near-Field Sources in Spatially Colored Noise. - Nurbanu Güzey; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Instrum. Meas., 2015)

Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems. - Hao Xu 002; Sarangapani Jagannathan (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. - Hao Xu 002; Qiming Zhao; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2015)

Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems. - Qiming Zhao; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2015)

Distributed Optimal Flocking Design for Multi-agent Two-Player Zero-Sum Games with Unknown System Dynamics and Disturbance. - Hao Xu 002; Luis Rodolfo García Carrillo (ISVC (1), 2016)

Model-free Q-learning optimal resource allocation in uncertain communication networks. - Gokhan Cetin; M. Sami Fadali; Hao Xu 002 (SSCI, 2016)

Finite horizon optimal control and communication co-design for uncertain networked control system with transmit power constraint. - Hao Xu 002 (SSCI, 2016)

Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2016)

Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2016)

Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2016)

Brain Emotional Learning-Based Intelligent Controller for flocking of Multi-Agent Systems. - Mohammad Jafari 001; Hao Xu 002; Luis Rodolfo García Carrillo (ACC, 2017)

Near optimal control and network co-design for uncertain networked control system with constraints. - Hao Xu 002; Luis Rodolfo García Carrillo (ACC, 2017)

Low-computation dynamic generation of distributed connectivity control for varying sized multi-agent systems. - Ric Fehr; Kevin Boles; Hao Xu 002 (RCAR, 2017)

Event triggered distributed adaptive consensus control for high-order nonlinear multi-agent systems in presence of system uncertainties. - Sanket Chandan Lokhande; Hao Xu 002; Harinder Singh Toor (RCAR, 2017)

Deep reinforecement learning based optimal defense for cyber-physical system in presence of unknown cyber-attack. - Ming Feng; Hao Xu 002 (SSCI, 2017)

A biologically-inspired intelligent controller for distributed velocity control of multiple electro-hydraulic servo-systems. - Mohammad Jafari 001; Hao Xu 002 (SSCI, 2017)

Optimal self-triggered control and network co-design for networked multi-agent system via adaptive dynamic programming. - Sanket C. Lokhande; Hao Xu 002 (SSCI, 2017)

Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming. - Avimanyu Sahoo; Hao Xu 002; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2017)

The Deformable Quad-Rotor Enabled and Wasp-Pedal-Carrying Inspired Aerial Gripper. - Na Zhao 008; Yudong Luo; Hongbin Deng; Yantao Shen 001; Hao Xu 002 (IROS, 2018)

Multi-Robot Enhanced MANET Intelligent Routing at Uncertain and Vulnerable Tactical Edge. - Ming Feng; Lijun Qian; Hao Xu 002 (MILCOM, 2018)

Multi-Robot Enhanced MANET Routing with Situation Aware Online Reinforcement Learning. - Ming Feng; Hao Xu 002 (SSCI, 2018)

A Game Theoretic Based Biologically-Inspired Distributed Intelligent Flocking Control for Multi-UAV Systems with Network Imperfections. - Mohammad Jafari 001; Hao Xu 002 (SSCI, 2018)

Brain Emotional Learning-Based Path Planning and Intelligent Control Co-Design for Unmanned Aerial Vehicle in Presence of System Uncertainties and Dynamic Environment. - Mohammad Jafari 001; Hao Xu 002; Luis Rodolfo García Carrillo (SSCI, 2018)

Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment. - Zejian Zhou; Hao Xu 002 (SSCI, 2018)

Distributed Control of Inverter-Interfaced Microgrids With Bounded Transient Line Currents. - Jiajun Duan; Cheng Wang 012; Hao Xu 002; Wenxin Liu 001; Jian-Chun Peng; Hui Jiang 006 (IEEE Trans. Ind. Informatics, 2018)

Power Converters Based Advanced Experimental Platform for Integrated Study of Power and Controls. - Wenxin Liu 001; Jang-Mok Kim; Cheng Wang 012; Won-Sang Im; Liming Liu; Hao Xu 002 (IEEE Trans. Ind. Informatics, 2018)

Event-triggered and self-triggered wide-area damping control designs under uncertainties. - Jiajun Duan; Hao Xu 002; Wenxin Liu 001 (Trans. Inst. Meas. Control, 2018)

Q-Learning-Based Damping Control of Wide-Area Power Systems Under Cyber Uncertainties. - Jiajun Duan; Hao Xu 002; Wenxin Liu 001 (IEEE Trans. Smart Grid, 2018)

Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks. - Zejian Zhou; Hao Xu 002 (CDC, 2019)

Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm. - Zejian Zhou; Hao Xu 002 (CDC, 2019)

Game Theoretic Based Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment and Unknown Interference. - Ming Feng; Hao Xu 002 (ICNC, 2019)

Multi-Robot Enhanced Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment. - Ming Feng; Hao Xu 002 (ICNC, 2019)

A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties. - Jiajun Duan; Zhehan Yi; Di Shi; Hao Xu 002; Zhiwei Wang 004 (ISGT, 2019)

Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory. - Zejian Zhou; Lijun Qian; Hao Xu 002 (MILCOM, 2019)

MSNET-Blockchain: A New Framework for Securing Mobile Satellite Communication Network. - Ming Feng; Hao Xu 002 (SECON, 2019)

Global Optimal Path Planning for Multi-agent Flocking: A Multi-Objective Optimization Approach with NSGA-III. - Kesireddy Kesireddy; Wanliang Shan; Hao Xu 002 (SSCI, 2019)

Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint. - Zejian Zhou; Hao Xu 002 (SSCI, 2019)

Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player. - Zejian Zhou; Hao Xu 002 (SSCI, 2019)

Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning. - Mohammad Jafari 001; Vahid Sarfi; Amir Ghasemkhani; Hanif Livani; Lei Yang 001; Hao Xu 002 (CoRR, 2019)

A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance. - Mohammad Jafari 001; Hao Xu 002 (Eng. Appl. Artif. Intell., 2019)

Multi-Autonomous Robot Enhanced Ad-Hoc Network under Uncertain and Vulnerable Environment. - Ming Feng; Lijun Qian; Hao Xu 002 (IEICE Trans. Commun., 2019)

Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections. - Mohammad Jafari 001; Amir Ghasemkhani; Vahid Sarfi; Hanif Livani; Lei Yang 001; Hao Xu 002 (IET Cyper-Phys. Syst.: Theory & Appl., 2019)

A neurobiologically-inspired intelligent trajectory tracking control for unmanned aircraft systems with uncertain system dynamics and disturbance. - Mohammad Jafari 001; Hao Xu 002; Luis Rodolfo García Carrillo (Trans. Inst. Meas. Control, 2019)

Distributed Control of Inverter-Interfaced Microgrids Based on Consensus Algorithm With Improved Transient Performance. - Jiajun Duan; Cheng Wang 012; Hao Xu 002; Wenxin Liu 001; Yaosuo Xue; Jian-Chun Peng; Hui Jiang 006 (IEEE Trans. Smart Grid, 2019)

Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. - Zejian Zhou; Hao Xu 002 (ACC, 2020)

Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint. - Zejian Zhou; Hao Xu 002 (ICCA, 2020)

Distributed Consensus Control of Multiple UAVs in a Constrained Environment. - Gang Wang 024; Weixin Yang; Na Zhao 008; Yunfeng Ji; Yantao Shen 001; Hao Xu 002; Peng Li 019 (ICRA, 2020)

Optimal resource allocation in networked control systems. - Gokhan Cetin; M. Sami Fadali; Hao Xu 002 (IET Cyper-Phys. Syst.: Theory & Appl., 2020)

A biologically-inspired reinforcement learning based intelligent distributed flocking control for Multi-Agent Systems in presence of uncertain system and dynamic environment. - Mohammad Jafari 001; Hao Xu 002; Luis Rodolfo García Carrillo (IFAC J. Syst. Control., 2020)

Zero-Sum Game Based Cooperative Control for Onboard Pulsed Power Load Accommodation. - Jiajun Duan; Hao Xu 002; Wenxin Liu 001; Jian-Chun Peng; Hui Jiang 006 (IEEE Trans. Ind. Informatics, 2020)

Discrete-Time Self-Triggered Control of DC Microgrids With Data Dropouts and Communication Delays. - Jiangkai Peng; Bo Fan 005; Hao Xu 002; Wenxin Liu 001 (IEEE Trans. Smart Grid, 2020)

A Multi-grained Attention Network for Multi-labeled Distant Supervision Relation Extraction. - Mingjie Tang; Bo Yang 011; Hao Xu 002 (ICCCS, 2021)

Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent. - Zejian Zhou; Hao Xu 002 (CCTA, 2021)

Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach. - Zejian Zhou; Hao Xu 002 (CCTA, 2021)

Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. - Zejian Zhou; Yuzhu Zhang; Hao Xu 002 (IJCNN, 2021)

A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements. - Zejian Zhou; Yingmeng Xiang; Hao Xu 002; Zhehan Yi; Di Shi; Zhiwei Wang 004 (IEEE Trans. Instrum. Meas., 2021)

Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices. - Zejian Zhou; Yingmeng Xiang; Hao Xu 002; Yishen Wang; Di Shi; Zhiwei Wang 004 (Trans. Inst. Meas. Control, 2021)

Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game. - Zejian Zhou; Hao Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Data-Enabled Learning based Intelligent Resource Allocation for Multi-RIS Assisted Dynamic Wireless Network. - Yuzhu Zhang; Hao Xu 002 (GLOBECOM (Workshops), 2022)

Optimal Resource Allocation for Reconfigurable Intelligent Surface Assisted Dynamic Wireless Network via Online Reinforcement Learning. - Yuzhu Zhang; Hao Xu 002 (SECON Workshops, 2022)

Decentralized Adaptive Tracking Control For Large-Scale Multi-Agent Systems Under Unstructured Environment. - Shawon Dey; Hao Xu 002 (SSCI, 2022)

Underwater Acoustic Communication Channel Modeling Using Reservoir Computing. - Oluwaseyi Onasami; Ming Feng; Hao Xu 002; Mulugeta A. Haile; Lijun Qian (IEEE Access, 2022)

Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning. - Zejian Zhou; Hao Xu 002 (Neurocomputing, 2022)

Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation. - Hao Xu 002; Bo Yang 011; Xiangkun Liu; Wenqi Fan; Qing Li 001 (Knowl. Based Syst., 2022)

A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems. - Zejian Zhou; Hao Xu 002 (IEEE Trans. Cybern., 2022)

Large-Scale Multiagent System Tracking Control Using Mean Field Games. - Zejian Zhou; Hao Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Joint Optimal Placement and Dynamic Resource Allocation for multi-UAV Enhanced Reconfigurable Intelligent Surface Assisted Wireless Network. - Yuzhu Zhang; Lijun Qian; Hao Xu 002 (CCNC, 2023)

Intelligent Distributed Charging Control for Large Scale Electric Vehicles: A Multi-Cluster Mean Field Game Approach. - Shawon Dey; Hao Xu 002 (CPS-IoT Week Workshops, 2023)

Reinforcement Learning based Optimal Dynamic Resource Allocation for RIS-aided MIMO Wireless Network with Hardware Limitations. - Yuzhu Zhang; Lijun Qian; Abdullah Eroglu; Binbin Yang; Hao Xu 002 (ICNC, 2023)

Two-Stage Online Reinforcement Learning based Distributed Optimal Resource Allocation for Multiple RIS-assisted Mobile Ad-Hoc Network. - Yuzhu Zhang; Hao Xu 002 (ICNC, 2023)

Decentralized Multi-agent Reinforcement Learning for Large-scale Mobile Wireless Sensor Network Control Using Mean Field Games. - Zejian Zhou; Lijun Qian; Hao Xu 002 (ICCCN, 2024)

Reverse-graph enhanced graph neural networks for session-based recommendation. - Hao Xu 002; Bo Yang 011; Xiangkun Liu (Expert Syst. Appl., 2024)

Multi-level category-aware graph neural network for session-based recommendation. - Zhu Zhang; Bo Yang 011; Hao Xu 002; Wang Hu 001 (Expert Syst. Appl., 2024)

Extended mean field game theoretical optimal distributed control for large scale multi-agent systems: An efficiency-complexity tradeoff. - Shawon Dey; Hao Xu 002 (Inf. Sci., 2025)

Online Receding Horizon Safe-Critical Control for Complex Nonlinear System Under Uncertainty: A Biological Brain-Inspired Dual Learning Approach. - Shawon Dey; Hao Xu 002 (IEEE Trans Autom. Sci. Eng., 2025)

An Imbalanced Mean-Field Game Theoretical Large-Scale Multiagent Optimization With Constraints. - Shawon Dey; Hao Xu 002 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Distributed Adaptive Flocking Control for Large-Scale Multiagent Systems. - Shawon Dey; Hao Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)