Hao Xu - RankMe

117 papers A* 1A 1B 10C 11Misc 4Journal 47Unranked 43

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Imbalanced Mean-Field Game Theoretical Large-Scale Multiagent Optimization With Constraints. IEEE Trans. Syst. Man Cybern. Syst. Shawon Dey, Hao Xu
2025	J	`jnl`	Distributed Adaptive Flocking Control for Large-Scale Multiagent Systems. IEEE Trans. Neural Networks Learn. Syst. Shawon Dey, Hao Xu
2025	J	`jnl`	Extended mean field game theoretical optimal distributed control for large scale multi-agent systems: An efficiency-complexity tradeoff. Inf. Sci. Shawon Dey, Hao Xu
2025	J	`jnl`	Feedback for Improved Hierarchical Reinforcement Learning With Timed Subgoals. IEEE Control. Syst. Lett. Yajie Bao, Dan Shen, Genshe Chen, Hao Xu, Samson Badlia, Simon Khan, Erik Blasch, Khanh D. Pham
2025	—	`conf`	Joint Channel Sensing and Dynamic Resource Allocation for Multi-RIS Assisted Wireless Networks: A Bi-Level Optimization Approach. MILCOM Shawon Dey, Lijun Qian, Hao Xu
2025	J	`jnl`	Learning-Assisted Multi-IMU Proprioceptive State Estimation for Quadruped Robots. Inf. Xuanning Liu, Yajie Bao, Peng Cheng, Dan Shen, Zhengyang Fan, Hao Xu, Genshe Chen
2025	J	`jnl`	Online Receding Horizon Safe-Critical Control for Complex Nonlinear System Under Uncertainty: A Biological Brain-Inspired Dual Learning Approach. IEEE Trans Autom. Sci. Eng. Shawon Dey, Hao Xu
2025	J	`jnl`	Safe adaptive control for multi-agent systems under uncertain dynamic environments: a robust barrier-certified learning approach. Neural Comput. Appl. Shawon Dey, Hao Xu
2024	B	`conf`	Decentralized Multi-agent Reinforcement Learning for Large-scale Mobile Wireless Sensor Network Control Using Mean Field Games. ICCCN Zejian Zhou, Lijun Qian, Hao Xu
2024	J	`jnl`	Multi-level category-aware graph neural network for session-based recommendation. Expert Syst. Appl. Zhu Zhang, Bo Yang, Hao Xu, Wang Hu
2024	J	`jnl`	Reverse-graph enhanced graph neural networks for session-based recommendation. Expert Syst. Appl. Hao Xu, Bo Yang, Xiangkun Liu
2023	—	`conf`	Intelligent Distributed Charging Control for Large Scale Electric Vehicles: A Multi-Cluster Mean Field Game Approach. CPS-IoT Week Workshops Shawon Dey, Hao Xu
2023	—	`conf`	Joint Optimal Placement and Dynamic Resource Allocation for multi-UAV Enhanced Reconfigurable Intelligent Surface Assisted Wireless Network. CCNC Yuzhu Zhang, Lijun Qian, Hao Xu
2023	Misc	`conf`	Reinforcement Learning based Optimal Dynamic Resource Allocation for RIS-aided MIMO Wireless Network with Hardware Limitations. ICNC Yuzhu Zhang, Lijun Qian, Abdullah Eroglu, Binbin Yang, Hao Xu
2023	Misc	`conf`	Two-Stage Online Reinforcement Learning based Distributed Optimal Resource Allocation for Multiple RIS-assisted Mobile Ad-Hoc Network. ICNC Yuzhu Zhang, Hao Xu
2022	J	`jnl`	A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems. IEEE Trans. Cybern. Zejian Zhou, Hao Xu
2022	J	`jnl`	Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation. Knowl. Based Syst. Hao Xu, Bo Yang, Xiangkun Liu, Wenqi Fan, Qing Li
2022	—	`conf`	Data-Enabled Learning based Intelligent Resource Allocation for Multi-RIS Assisted Dynamic Wireless Network. GLOBECOM (Workshops) Yuzhu Zhang, Hao Xu
2022	—	`conf`	Decentralized Adaptive Tracking Control For Large-Scale Multi-Agent Systems Under Unstructured Environment. SSCI Shawon Dey, Hao Xu
2022	J	`jnl`	Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning. Neurocomputing Zejian Zhou, Hao Xu
2022	J	`jnl`	Large-Scale Multiagent System Tracking Control Using Mean Field Games. IEEE Trans. Neural Networks Learn. Syst. Zejian Zhou, Hao Xu
2022	—	`conf`	Optimal Resource Allocation for Reconfigurable Intelligent Surface Assisted Dynamic Wireless Network via Online Reinforcement Learning. SECON Workshops Yuzhu Zhang, Hao Xu
2022	J	`jnl`	Underwater Acoustic Communication Channel Modeling Using Reservoir Computing. IEEE Access Oluwaseyi Onasami, Ming Feng, Hao Xu, Mulugeta A. Haile, Lijun Qian
2021	—	`conf`	A Multi-grained Attention Network for Multi-labeled Distant Supervision Relation Extraction. ICCCS Mingjie Tang, Bo Yang, Hao Xu
2021	J	`jnl`	A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements. IEEE Trans. Instrum. Meas. Zejian Zhou, Yingmeng Xiang, Hao Xu, Zhehan Yi, Di Shi, Zhiwei Wang
2021	J	`jnl`	Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game. IEEE Trans. Neural Networks Learn. Syst. Zejian Zhou, Hao Xu
2021	—	`conf`	Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent. CCTA Zejian Zhou, Hao Xu
2021	—	`conf`	Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach. CCTA Zejian Zhou, Hao Xu
2021	B	`conf`	Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. IJCNN Zejian Zhou, Yuzhu Zhang, Hao Xu
2021	J	`jnl`	Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices. Trans. Inst. Meas. Control Zejian Zhou, Yingmeng Xiang, Hao Xu, Yishen Wang, Di Shi, Zhiwei Wang
2020	J	`jnl`	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. Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo
2020	—	`conf`	Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint. ICCA Zejian Zhou, Hao Xu
2020	J	`jnl`	Discrete-Time Self-Triggered Control of DC Microgrids With Data Dropouts and Communication Delays. IEEE Trans. Smart Grid Jiangkai Peng, Bo Fan, Hao Xu, Wenxin Liu
2020	A*	`conf`	Distributed Consensus Control of Multiple UAVs in a Constrained Environment. ICRA Gang Wang, Weixin Yang, Na Zhao, Yunfeng Ji, Yantao Shen, Hao Xu, Peng Li
2020	C	`conf`	Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. ACC Zejian Zhou, Hao Xu
2020	J	`jnl`	Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. CoRR Zejian Zhou, Hao Xu
2020	J	`jnl`	Optimal resource allocation in networked control systems. IET Cyper-Phys. Syst.: Theory & Appl. Gokhan Cetin, M. Sami Fadali, Hao Xu
2020	J	`jnl`	Zero-Sum Game Based Cooperative Control for Onboard Pulsed Power Load Accommodation. IEEE Trans. Ind. Informatics Jiajun Duan, Hao Xu, Wenxin Liu, Jian-Chun Peng, Hui Jiang
2019	—	`conf`	A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties. ISGT Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang
2019	J	`jnl`	A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance. Eng. Appl. Artif. Intell. Mohammad Jafari, Hao Xu
2019	J	`jnl`	A neurobiologically-inspired intelligent trajectory tracking control for unmanned aircraft systems with uncertain system dynamics and disturbance. Trans. Inst. Meas. Control Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo
2019	J	`jnl`	Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning. CoRR Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu
2019	J	`jnl`	Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections. IET Cyper-Phys. Syst.: Theory & Appl. Mohammad Jafari, Amir Ghasemkhani, Vahid Sarfi, Hanif Livani, Lei Yang, Hao Xu
2019	—	`conf`	Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks. CDC Zejian Zhou, Hao Xu
2019	—	`conf`	Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint. SSCI Zejian Zhou, Hao Xu
2019	—	`conf`	Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm. CDC Zejian Zhou, Hao Xu
2019	—	`conf`	Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player. SSCI Zejian Zhou, Hao Xu
2019	J	`jnl`	Distributed Control of Inverter-Interfaced Microgrids Based on Consensus Algorithm With Improved Transient Performance. IEEE Trans. Smart Grid Jiajun Duan, Cheng Wang, Hao Xu, Wenxin Liu, Yaosuo Xue, Jian-Chun Peng, Hui Jiang
2019	Misc	`conf`	Game Theoretic Based Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment and Unknown Interference. ICNC Ming Feng, Hao Xu
2019	—	`conf`	Global Optimal Path Planning for Multi-agent Flocking: A Multi-Objective Optimization Approach with NSGA-III. SSCI Kesireddy Kesireddy, Wanliang Shan, Hao Xu
2019	—	`conf`	Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory. MILCOM Zejian Zhou, Lijun Qian, Hao Xu
2019	B	`conf`	MSNET-Blockchain: A New Framework for Securing Mobile Satellite Communication Network. SECON Ming Feng, Hao Xu
2019	J	`jnl`	Multi-Autonomous Robot Enhanced Ad-Hoc Network under Uncertain and Vulnerable Environment. IEICE Trans. Commun. Ming Feng, Lijun Qian, Hao Xu
2019	Misc	`conf`	Multi-Robot Enhanced Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment. ICNC Ming Feng, Hao Xu
2018	—	`conf`	A Game Theoretic Based Biologically-Inspired Distributed Intelligent Flocking Control for Multi-UAV Systems with Network Imperfections. SSCI Mohammad Jafari, Hao Xu
2018	J	`jnl`	A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties. CoRR Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang
2018	—	`conf`	Brain Emotional Learning-Based Path Planning and Intelligent Control Co-Design for Unmanned Aerial Vehicle in Presence of System Uncertainties and Dynamic Environment. SSCI Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo
2018	J	`jnl`	Distributed Control of Inverter-Interfaced Microgrids With Bounded Transient Line Currents. IEEE Trans. Ind. Informatics Jiajun Duan, Cheng Wang, Hao Xu, Wenxin Liu, Jian-Chun Peng, Hui Jiang
2018	J	`jnl`	Event-triggered and self-triggered wide-area damping control designs under uncertainties. Trans. Inst. Meas. Control Jiajun Duan, Hao Xu, Wenxin Liu
2018	—	`conf`	Multi-Robot Enhanced MANET Intelligent Routing at Uncertain and Vulnerable Tactical Edge. MILCOM Ming Feng, Lijun Qian, Hao Xu
2018	—	`conf`	Multi-Robot Enhanced MANET Routing with Situation Aware Online Reinforcement Learning. SSCI Ming Feng, Hao Xu
2018	J	`jnl`	Power Converters Based Advanced Experimental Platform for Integrated Study of Power and Controls. IEEE Trans. Ind. Informatics Wenxin Liu, Jang-Mok Kim, Cheng Wang, Won-Sang Im, Liming Liu, Hao Xu
2018	J	`jnl`	Q-Learning-Based Damping Control of Wide-Area Power Systems Under Cyber Uncertainties. IEEE Trans. Smart Grid Jiajun Duan, Hao Xu, Wenxin Liu
2018	—	`conf`	Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment. SSCI Zejian Zhou, Hao Xu
2018	A	`conf`	The Deformable Quad-Rotor Enabled and Wasp-Pedal-Carrying Inspired Aerial Gripper. IROS Na Zhao, Yudong Luo, Hongbin Deng, Yantao Shen, Hao Xu
2017	—	`conf`	A biologically-inspired intelligent controller for distributed velocity control of multiple electro-hydraulic servo-systems. SSCI Mohammad Jafari, Hao Xu
2017	J	`jnl`	Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2017	C	`conf`	Brain Emotional Learning-Based Intelligent Controller for flocking of Multi-Agent Systems. ACC Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo
2017	—	`conf`	Deep reinforecement learning based optimal defense for cyber-physical system in presence of unknown cyber-attack. SSCI Ming Feng, Hao Xu
2017	—	`conf`	Event triggered distributed adaptive consensus control for high-order nonlinear multi-agent systems in presence of system uncertainties. RCAR Sanket Chandan Lokhande, Hao Xu, Harinder Singh Toor
2017	—	`conf`	Low-computation dynamic generation of distributed connectivity control for varying sized multi-agent systems. RCAR Ric Fehr, Kevin Boles, Hao Xu
2017	C	`conf`	Near optimal control and network co-design for uncertain networked control system with constraints. ACC Hao Xu, Luis Rodolfo García Carrillo
2017	—	`conf`	Optimal self-triggered control and network co-design for networked multi-agent system via adaptive dynamic programming. SSCI Sanket C. Lokhande, Hao Xu
2016	J	`jnl`	Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2016	—	`conf`	Distributed Optimal Flocking Design for Multi-agent Two-Player Zero-Sum Games with Unknown System Dynamics and Disturbance. ISVC (1) Hao Xu, Luis Rodolfo García Carrillo
2016	—	`conf`	Finite horizon optimal control and communication co-design for uncertain networked control system with transmit power constraint. SSCI Hao Xu
2016	—	`conf`	Model-free Q-learning optimal resource allocation in uncertain communication networks. SSCI Gokhan Cetin, M. Sami Fadali, Hao Xu
2016	J	`jnl`	Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2016	J	`jnl`	Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems. IEEE Trans. Neural Networks Learn. Syst. Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2015	C	`conf`	Event-based neural network approximation and control of uncertain nonlinear continuous-time systems. ACC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2015	J	`jnl`	Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint. IEEE Trans. Neural Networks Learn. Syst. Hao Xu, Qiming Zhao, Sarangapani Jagannathan
2015	J	`jnl`	Localization of Near-Field Sources in Spatially Colored Noise. IEEE Trans. Instrum. Meas. Nurbanu Güzey, Hao Xu, Sarangapani Jagannathan
2015	J	`jnl`	Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems. IEEE Trans. Neural Networks Learn. Syst. Hao Xu, Sarangapani Jagannathan
2015	J	`jnl`	Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. Qiming Zhao, Hao Xu, Sarangapani Jagannathan
2014	—	`conf`	Event-based optimal regulator design for nonlinear networked control systems. ADPRL Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2014	—	`conf`	Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks. CDC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan, Travis Dierks
2014	B	`conf`	Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint. IJCNN Hao Xu, Sarangapani Jagannathan
2014	C	`conf`	Fixed final-time near optimal regulation of nonlinear discrete-time systems in affine form using output feedback. ACC Qiming Zhao, Hao Xu, Sarangapani Jagannathan
2014	J	`jnl`	Localization of Near-Field Radio Controlled Unintended Emitting Sources in the Presence of Multipath Fading. IEEE Trans. Instrum. Meas. Nurbanu Güzey, Hao Xu, Sarangapani Jagannathan
2014	—	`conf`	Model-free Q-learning over finite horizon for uncertain linear continuous-time systems. ADPRL Hao Xu, Sarangapani Jagannathan
2014	—	`conf`	Near optimal boundary control of distributed parameter systems modeled as parabolic pdes by using finite difference neural network approximation. CDC Behzad Talaei, Hao Xu, Sarangapani Jagannathan
2014	B	`conf`	Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data. IJCNN Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2014	C	`conf`	Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems. ACC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2014	—	`conf`	Neural network dynamic progamming constrained control of distributed parameter systems governed by parabolic partial differential equations with application to diffusion-reaction processes. ISIC Behzad Talaei, Hao Xu, Sarangapani Jagannathan
2014	—	`conf`	Neural network-based adaptive optimal consensus control of leaderless networked mobile robots. ADPRL Haci Mehmet Guzey, Hao Xu, Sarangapani Jagannathan
2014	C	`conf`	Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems. ACC Hao Xu, Qiming Zhao, Travis Dierks, Sarangapani Jagannathan
2014	J	`jnl`	Optimal regulation of uncertain dynamic systems using adaptive dynamic programming. J. Control. Decis. Hao Xu, Qiming Zhao, Sarangapani Jagannathan
2013	C	`conf`	Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data. ACC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2013	J	`jnl`	Finite Horizon Adaptive Optimal Distributed Power Allocation for Enhanced Cognitive Radio Network in the Presence of Channel Uncertainties CoRR Hao Xu, Sarangapani Jagannathan
2013	—	`conf`	Finite horizon stochastic optimal control of uncertain linear networked control system. ADPRL Hao Xu, Sarangapani Jagannathan
2013	B	`conf`	Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems. IJCNN Qiming Zhao, Hao Xu, Travis Dierks, Sarangapani Jagannathan
2013	—	`conf`	Finite-horizon optimal adaptive neural network control of uncertain nonlinear discrete-time systems. ISIC Qiming Zhao, Hao Xu, Sarangapani Jagannathan
2013	—	`conf`	Finite-horizon optimal control design for uncertain linear discrete-time systems. ADPRL Qiming Zhao, Hao Xu, Sarangapani Jagannathan
2013	J	`jnl`	Fixed Final Time Optimal Adaptive Control of Linear Discrete-Time Systems in Input-Output form. J. Artif. Intell. Soft Comput. Res. Qiming Zhao, Hao Xu, Sarangapani Jagannathan
2013	B	`conf`	Neural network based finite horizon stochastic optimal controller design for nonlinear networked control systems. IJCNN Hao Xu, Sarangapani Jagannathan
2013	C	`conf`	Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics. ACC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2013	—	`conf`	Neural network-based adaptive event-triggered control of nonlinear continuous-time systems. ISIC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2013	B	`conf`	Solutions to finite horizon cost problems using actor-critic reinforcement learning. IJCNN Ivo Grondman, Hao Xu, Sarangapani Jagannathan, Robert Babuska
2013	J	`jnl`	Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Hao Xu, Sarangapani Jagannathan
2012	B	`conf`	A cross layer approach to the novel distributed scheduling protocol and event-triggered controller design for Cyber Physical Systems. LCN Hao Xu, Sarangapani Jagannathan
2012	B	`conf`	Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations. IJCNN Qiming Zhao, Hao Xu, Sarangapani Jagannathan
2012	—	`conf`	Optimal adaptive controller scheme for uncertain quantized linear discrete-time system. CDC Qiming Zhao, Hao Xu, Sarangapani Jagannathan
2012	J	`jnl`	Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses. Autom. Hao Xu, Sarangapani Jagannathan, Frank L. Lewis
2012	C	`conf`	Stochastic optimal controller design for unknown networked control system under TCP. ACC Hao Xu, Sarangapani Jagannathan
2011	—	`conf`	Model-free H∞ stochastic optimal design for unknown linear networked control system zero-sum games via Q-learning. ISIC Hao Xu, Sarangapani Jagannathan
2011	—	`conf`	Stochastic optimal control design for nonlinear networked control system via neuro dynamic programming using input-output measurements. CDC/ECC Hao Xu, Sarangapani Jagannathan
2011	C	`conf`	Stochastic optimal control of unknown linear networked control system using Q-learning methodology. ACC Hao Xu, Sarangapani Jagannathan