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ORCIDHao Xu 0002
Person information
- affiliation: University of Nevada Reno, Department of Electrical and Biomedical Engineering, NV, USA
- affiliation (2014 - 2016): Texas A&M University-Corpus Christi, College of Science and Engineering / Unmanned Systems Research Laboratory, TX, USA
- affiliation (2012 - 2014): NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems
- affiliation (PhD 2012): Missouri University of Science and Technology, Department of Electrical and Computer Engineering, Rolla, MO, USA
- not to be confused with: Hao Xu 0004
Other persons with the same name
- Hao Xu — disambiguation page
- Hao Xu 0001
![[0009-0000-1851-6118]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0000-1851-6118")
— Lucent Technol. Bell Labs., Holmdel, NJ, USA (and 1 more) - Hao Xu 0003 — University College London, Department of Electronic and Electrical Engineering, UK (and 2 more)
- Hao Xu 0004 — University of Nevada Reno, Department of Civil and Environmental Engineering, NV, USA (and 1 more)
- Hao Xu 0005 — University of California at Los Angeles, Electrical Engineering Department, CA, USA
- Hao Xu 0006 — University of North Carolina at Chapel Hill, DICE Center, NC, USA
- Hao Xu 0007 — National Institute of Metrology, Beijing, China
- Hao Xu 0008 — University of York, Department of Computer Science, UK
- Hao Xu 0009 — Tsinghua University, Department of Earth System Science, MOE Key Laboratory for Earth System Modelling, Beijing, China
- Hao Xu 0010 — University of Cincinnati, School of Electronics and Computing Systems, OH, USA
- Hao Xu 0011 — University of North Carolina, Chapel Hill, USA
- Hao Xu 0012 — Jilin University, College of Computer Science and Technology, Changchun, China (and 1 more)
- Hao Xu 0013 — Tongji University, Shanghai Engineering Research Center for Blockchain Applications and Services, China (and 2 more)
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2020 – today
- 2025
[j37]Shawon Dey, Hao Xu:
An Imbalanced Mean-Field Game Theoretical Large-Scale Multiagent Optimization With Constraints. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 443-452 (2025)- 2024
- [j36]Zhu Zhang, Bo Yang, Hao Xu, Wang Hu:
Multi-level category-aware graph neural network for session-based recommendation. Expert Syst. Appl. 242: 122773 (2024) - [j35]Hao Xu, Bo Yang, Xiangkun Liu:
Reverse-graph enhanced graph neural networks for session-based recommendation. Expert Syst. Appl. 245: 122995 (2024) - [c69]Zejian Zhou, Lijun Qian, Hao Xu:
Decentralized Multi-agent Reinforcement Learning for Large-scale Mobile Wireless Sensor Network Control Using Mean Field Games. ICCCN 2024: 1-6 - 2023
- [c68]Yuzhu Zhang, Lijun Qian, Hao Xu:
Joint Optimal Placement and Dynamic Resource Allocation for multi-UAV Enhanced Reconfigurable Intelligent Surface Assisted Wireless Network. CCNC 2023: 1-6 - [c67]Shawon Dey, Hao Xu:
Intelligent Distributed Charging Control for Large Scale Electric Vehicles: A Multi-Cluster Mean Field Game Approach. CPS-IoT Week Workshops 2023: 146-151 - [c66]Yuzhu Zhang, Lijun Qian, Abdullah Eroglu, Binbin Yang, Hao Xu:
Reinforcement Learning based Optimal Dynamic Resource Allocation for RIS-aided MIMO Wireless Network with Hardware Limitations. ICNC 2023: 148-152 - [c65]Yuzhu Zhang, Hao Xu:
Two-Stage Online Reinforcement Learning based Distributed Optimal Resource Allocation for Multiple RIS-assisted Mobile Ad-Hoc Network. ICNC 2023: 563-567 - 2022
- [j34]Oluwaseyi Onasami, Ming Feng, Hao Xu, Mulugeta Haile, Lijun Qian:
Underwater Acoustic Communication Channel Modeling Using Reservoir Computing. IEEE Access 10: 56550-56563 (2022) - [j33]Zejian Zhou, Hao Xu:
Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning. Neurocomputing 484: 46-58 (2022) - [j32]Hao Xu, Bo Yang, Xiangkun Liu, Wenqi Fan, Qing Li:
Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation. Knowl. Based Syst. 251: 109246 (2022) - [j31]Zejian Zhou, Hao Xu:
A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems. IEEE Trans. Cybern. 52(6): 5197-5208 (2022) - [j30]Zejian Zhou, Hao Xu:
Large-Scale Multiagent System Tracking Control Using Mean Field Games. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5602-5610 (2022) - [c64]Yuzhu Zhang, Hao Xu:
Data-Enabled Learning based Intelligent Resource Allocation for Multi-RIS Assisted Dynamic Wireless Network. GLOBECOM (Workshops) 2022: 1090-1095 - [c63]Yuzhu Zhang, Hao Xu:
Optimal Resource Allocation for Reconfigurable Intelligent Surface Assisted Dynamic Wireless Network via Online Reinforcement Learning. SECON Workshops 2022: 13-18 - [c62]Shawon Dey, Hao Xu:
Decentralized Adaptive Tracking Control For Large-Scale Multi-Agent Systems Under Unstructured Environment. SSCI 2022: 900-907 - 2021
- [j29]Zejian Zhou, Yingmeng Xiang, Hao Xu, Zhehan Yi, Di Shi, Zhiwei Wang:
A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [j28]Zejian Zhou, Yingmeng Xiang, Hao Xu, Yishen Wang, Di Shi, Zhiwei Wang:
Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices. Trans. Inst. Meas. Control 43(3): 635-645 (2021) - [j27]Zejian Zhou, Hao Xu:
Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5654-5663 (2021) - [c61]Mingjie Tang, Bo Yang, Hao Xu:
A Multi-grained Attention Network for Multi-labeled Distant Supervision Relation Extraction. ICCCS 2021: 110-115 - [c60]Zejian Zhou, Hao Xu:
Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent. CCTA 2021: 97-102 - [c59]Zejian Zhou, Hao Xu:
Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach. CCTA 2021: 111-116 - [c58]Zejian Zhou, Yuzhu Zhang, Hao Xu:
Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. IJCNN 2021: 1-6 - 2020
- [j26]Gokhan Cetin, M. Sami Fadali, Hao Xu:
Optimal resource allocation in networked control systems. IET Cyper-Phys. Syst.: Theory & Appl. 5(2): 168-175 (2020) - [j25]Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo:
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. 13: 100096 (2020) - [j24]Jiajun Duan, Hao Xu, Wenxin Liu, Jian-Chun Peng, Hui Jiang:
Zero-Sum Game Based Cooperative Control for Onboard Pulsed Power Load Accommodation. IEEE Trans. Ind. Informatics 16(1): 238-247 (2020) - [j23]Jiangkai Peng, Bo Fan, Hao Xu, Wenxin Liu:
Discrete-Time Self-Triggered Control of DC Microgrids With Data Dropouts and Communication Delays. IEEE Trans. Smart Grid 11(6): 4626-4636 (2020) - [c57]Zejian Zhou, Hao Xu:
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. ACC 2020: 5382-5387 - [c56]Zejian Zhou, Hao Xu:
Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint. ICCA 2020: 336-341 - [c55]Gang Wang, Weixin Yang, Na Zhao, Yunfeng Ji, Yantao Shen, Hao Xu, Peng Li:
Distributed Consensus Control of Multiple UAVs in a Constrained Environment. ICRA 2020: 3234-3240 - [i4]Zejian Zhou, Hao Xu:
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. CoRR abs/2008.02940 (2020)
2010 – 2019
- 2019
- [j22]Mohammad Jafari, Hao Xu:
A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance. Eng. Appl. Artif. Intell. 79: 1-12 (2019) - [j21]Ming Feng, Lijun Qian, Hao Xu:
Multi-Autonomous Robot Enhanced Ad-Hoc Network under Uncertain and Vulnerable Environment. IEICE Trans. Commun. 102-B(10): 1925-1932 (2019) - [j20]Mohammad Jafari, Amir Ghasemkhani, Vahid Sarfi, Hanif Livani, Lei Yang, Hao Xu:
Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections. IET Cyper-Phys. Syst.: Theory & Appl. 4(4): 341-352 (2019) - [j19]Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo:
A neurobiologically-inspired intelligent trajectory tracking control for unmanned aircraft systems with uncertain system dynamics and disturbance. Trans. Inst. Meas. Control 41(2): 417-432 (2019) - [j18]Jiajun Duan, Cheng Wang, Hao Xu, Wenxin Liu, Yaosuo Xue, Jian-Chun Peng, Hui Jiang:
Distributed Control of Inverter-Interfaced Microgrids Based on Consensus Algorithm With Improved Transient Performance. IEEE Trans. Smart Grid 10(2): 1303-1312 (2019) - [c54]Zejian Zhou, Hao Xu:
Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks. CDC 2019: 1225-1230 - [c53]Zejian Zhou, Hao Xu:
Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm. CDC 2019: 1231-1236 - [c52]Ming Feng, Hao Xu:
Game Theoretic Based Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment and Unknown Interference. ICNC 2019: 687-691 - [c51]Ming Feng, Hao Xu:
Multi-Robot Enhanced Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment. ICNC 2019: 965-969 - [c50]Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang:
A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties. ISGT 2019: 1-5 - [c49]Zejian Zhou, Lijun Qian, Hao Xu:
Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory. MILCOM 2019: 604-609 - [c48]Ming Feng, Hao Xu:
MSNET-Blockchain: A New Framework for Securing Mobile Satellite Communication Network. SECON 2019: 1-9 - [c47]Zejian Zhou, Hao Xu:
Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint. SSCI 2019: 1-8 - [c46]Zejian Zhou, Hao Xu:
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player. SSCI 2019: 9-15 - [c45]Kesireddy Kesireddy, Wanliang Shan, Hao Xu:
Global Optimal Path Planning for Multi-agent Flocking: A Multi-Objective Optimization Approach with NSGA-III. SSCI 2019: 64-71 - [i3]Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu:
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning. CoRR abs/1905.00557 (2019) - 2018
- [j17]Jiajun Duan, Cheng Wang, Hao Xu, Wenxin Liu, Jian-Chun Peng, Hui Jiang:
Distributed Control of Inverter-Interfaced Microgrids With Bounded Transient Line Currents. IEEE Trans. Ind. Informatics 14(5): 2052-2061 (2018) - [j16]Wenxin Liu, Jang-Mok Kim, Cheng Wang, Won-Sang Im, Liming Liu, Hao Xu:
Power Converters Based Advanced Experimental Platform for Integrated Study of Power and Controls. IEEE Trans. Ind. Informatics 14(11): 4940-4952 (2018) - [j15]Jiajun Duan, Hao Xu, Wenxin Liu:
Event-triggered and self-triggered wide-area damping control designs under uncertainties. Trans. Inst. Meas. Control 40(7): 2259-2269 (2018) - [j14]Jiajun Duan, Hao Xu, Wenxin Liu:
Q-Learning-Based Damping Control of Wide-Area Power Systems Under Cyber Uncertainties. IEEE Trans. Smart Grid 9(6): 6408-6418 (2018) - [c44]Na Zhao, Yudong Luo, Hongbin Deng, Yantao Shen, Hao Xu:
The Deformable Quad-Rotor Enabled and Wasp-Pedal-Carrying Inspired Aerial Gripper. IROS 2018: 1-9 - [c43]Ming Feng, Lijun Qian, Hao Xu:
Multi-Robot Enhanced MANET Intelligent Routing at Uncertain and Vulnerable Tactical Edge. MILCOM 2018: 1-9 - [c42]Mohammad Jafari, Hao Xu:
A Game Theoretic Based Biologically-Inspired Distributed Intelligent Flocking Control for Multi-UAV Systems with Network Imperfections. SSCI 2018: 1138-1144 - [c41]Ming Feng, Hao Xu:
Multi-Robot Enhanced MANET Routing with Situation Aware Online Reinforcement Learning. SSCI 2018: 1145-1150 - [c40]Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo:
Brain Emotional Learning-Based Path Planning and Intelligent Control Co-Design for Unmanned Aerial Vehicle in Presence of System Uncertainties and Dynamic Environment. SSCI 2018: 1435-1440 - [c39]Zejian Zhou, Hao Xu:
Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment. SSCI 2018: 1453-1460 - [i2]Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang:
A Neuron-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties. CoRR abs/1811.12539 (2018) - 2017
- [j13]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 28(3): 639-652 (2017) - [c38]Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo:
Brain Emotional Learning-Based Intelligent Controller for flocking of Multi-Agent Systems. ACC 2017: 1996-2001 - [c37]Hao Xu, Luis Rodolfo García Carrillo:
Near optimal control and network co-design for uncertain networked control system with constraints. ACC 2017: 2339-2344 - [c36]Ric Fehr, Kevin Boles, Hao Xu:
Low-computation dynamic generation of distributed connectivity control for varying sized multi-agent systems. RCAR 2017: 212-217 - [c35]Sanket Chandan Lokhande, Hao Xu, Harinder Singh Toor:
Event triggered distributed adaptive consensus control for high-order nonlinear multi-agent systems in presence of system uncertainties. RCAR 2017: 606-611 - [c34]Ming Feng, Hao Xu:
Deep reinforecement learning based optimal defense for cyber-physical system in presence of unknown cyber-attack. SSCI 2017: 1-8 - [c33]Mohammad Jafari, Hao Xu:
A biologically-inspired intelligent controller for distributed velocity control of multiple electro-hydraulic servo-systems. SSCI 2017: 1-7 - [c32]Sanket C. Lokhande, Hao Xu:
Optimal self-triggered control and network co-design for networked multi-agent system via adaptive dynamic programming. SSCI 2017: 1-8 - 2016
- [j12]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 27(1): 151-164 (2016) - [j11]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 27(3): 497-509 (2016) - [j10]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1801-1815 (2016) - [c31]Hao Xu, Luis Rodolfo García Carrillo:
Distributed Optimal Flocking Design for Multi-agent Two-Player Zero-Sum Games with Unknown System Dynamics and Disturbance. ISVC (1) 2016: 603-614 - [c30]Gokhan Cetin, M. Sami Fadali, Hao Xu:
Model-free Q-learning optimal resource allocation in uncertain communication networks. SSCI 2016: 1-7 - [c29]Hao Xu:
Finite horizon optimal control and communication co-design for uncertain networked control system with transmit power constraint. SSCI 2016: 1-7 - 2015
- [j9]Nurbanu Güzey, Hao Xu, Sarangapani Jagannathan:
Localization of Near-Field Sources in Spatially Colored Noise. IEEE Trans. Instrum. Meas. 64(8): 2302-2311 (2015) - [j8]Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems. IEEE Trans. Neural Networks Learn. Syst. 26(3): 472-485 (2015) - [j7]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 26(3): 486-499 (2015) - [j6]Hao Xu, Qiming Zhao, Sarangapani Jagannathan:
Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1776-1788 (2015) - [c28]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Event-based neural network approximation and control of uncertain nonlinear continuous-time systems. ACC 2015: 1567-1572 - 2014
- [j5]Hao Xu, Qiming Zhao, Sarangapani Jagannathan:
Optimal regulation of uncertain dynamic systems using adaptive dynamic programming. J. Control. Decis. 1(3): 226-256 (2014) - [j4]Nurbanu Güzey, Hao Xu, Sarangapani Jagannathan:
Localization of Near-Field Radio Controlled Unintended Emitting Sources in the Presence of Multipath Fading. IEEE Trans. Instrum. Meas. 63(11): 2696-2703 (2014) - [c27]Behzad Talaei, Hao Xu, Sarangapani Jagannathan:
Neural network dynamic progamming constrained control of distributed parameter systems governed by parabolic partial differential equations with application to diffusion-reaction processes. ISIC 2014: 1861-1866 - [c26]Haci Mehmet Guzey, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive optimal consensus control of leaderless networked mobile robots. ADPRL 2014: 1-6 - [c25]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Event-based optimal regulator design for nonlinear networked control systems. ADPRL 2014: 1-8 - [c24]Hao Xu, Sarangapani Jagannathan:
Model-free Q-learning over finite horizon for uncertain linear continuous-time systems. ADPRL 2014: 1-6 - [c23]Hao Xu, Qiming Zhao, Travis Dierks, Sarangapani Jagannathan:
Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems. ACC 2014: 1243-1248 - [c22]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems. ACC 2014: 2017-2022 - [c21]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Fixed final-time near optimal regulation of nonlinear discrete-time systems in affine form using output feedback. ACC 2014: 4643-4648 - [c20]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan, Travis Dierks:
Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks. CDC 2014: 1227-1232 - [c19]Behzad Talaei, Hao Xu, Sarangapani Jagannathan:
Near optimal boundary control of distributed parameter systems modeled as parabolic pdes by using finite difference neural network approximation. CDC 2014: 6776-6781 - [c18]Hao Xu, Sarangapani Jagannathan:
Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint. IJCNN 2014: 239-244 - [c17]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data. IJCNN 2014: 3671-3676 - 2013
- [j3]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Fixed Final Time Optimal Adaptive Control of Linear Discrete-Time Systems in Input-Output form. J. Artif. Intell. Soft Comput. Res. 3(3): 175 (2013) - [j2]Hao Xu, Sarangapani Jagannathan:
Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 24(3): 471-484 (2013) - [c16]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive event-triggered control of nonlinear continuous-time systems. ISIC 2013: 35-40 - [c15]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Finite-horizon optimal adaptive neural network control of uncertain nonlinear discrete-time systems. ISIC 2013: 41-46 - [c14]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Finite-horizon optimal control design for uncertain linear discrete-time systems. ADPRL 2013: 6-12 - [c13]Hao Xu, Sarangapani Jagannathan:
Finite horizon stochastic optimal control of uncertain linear networked control system. ADPRL 2013: 24-30 - [c12]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data. ACC 2013: 5672-5677 - [c11]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics. ACC 2013: 6418-6423 - [c10]Ivo Grondman, Hao Xu, Sarangapani Jagannathan, Robert Babuska:
Solutions to finite horizon cost problems using actor-critic reinforcement learning. IJCNN 2013: 1-7 - [c9]Hao Xu, Sarangapani Jagannathan:
Neural network based finite horizon stochastic optimal controller design for nonlinear networked control systems. IJCNN 2013: 1-7 - [c8]Qiming Zhao, Hao Xu, Travis Dierks, Sarangapani Jagannathan:
Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems. IJCNN 2013: 1-6 - [i1]Hao Xu, Sarangapani Jagannathan:
Finite Horizon Adaptive Optimal Distributed Power Allocation for Enhanced Cognitive Radio Network in the Presence of Channel Uncertainties. CoRR abs/1302.1396 (2013) - 2012
- [j1]Hao Xu, Sarangapani Jagannathan, Frank L. Lewis:
Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses. Autom. 48(6): 1017-1030 (2012) - [c7]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal controller design for unknown networked control system under TCP. ACC 2012: 6503-6508 - [c6]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Optimal adaptive controller scheme for uncertain quantized linear discrete-time system. CDC 2012: 6132-6137 - [c5]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations. IJCNN 2012: 1-7 - [c4]Hao Xu, Sarangapani Jagannathan:
A cross layer approach to the novel distributed scheduling protocol and event-triggered controller design for Cyber Physical Systems. LCN 2012: 232-235 - 2011
- [c3]Hao Xu, Sarangapani Jagannathan:
Model-free H∞ stochastic optimal design for unknown linear networked control system zero-sum games via Q-learning. ISIC 2011: 198-203 - [c2]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal control of unknown linear networked control system using Q-learning methodology. ACC 2011: 2819-2824 - [c1]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal control design for nonlinear networked control system via neuro dynamic programming using input-output measurements. CDC/ECC 2011: 136-141
Coauthor Index
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