Xiangnan Zhong

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Nonlinear Systems

Dynamic Programming

Reinforcement Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Publications

Yiran Pang, Zhen Ni, Xiangnan Zhong
Federated Learning for Crowd Counting in Smart Surveillance Systems. IEEE Internet Things J. 11 (3) (2024)
Xiangnan Zhong, Zhen Ni
A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems. IEEE Trans. Artif. Intell. 5 (6) (2024)
Xiaoyao Zheng, Zhen Ni, Xiangnan Zhong, Yonglong Luo
Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Hepeng Li, Xiangnan Zhong, Haibo He
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. IJCNN (2023)
Yanbin Lin, Zhen Ni, Xiangnan Zhong
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. IJCNN (2022)
Dong Xie, Xiangnan Zhong
Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Qinglai Wei, Xin Wang, Xiangnan Zhong, Naiqi Wu
Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances. IEEE CAA J. Autom. Sinica 8 (2) (2021)
Xiangnan Zhong, Haibo He
A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs. IJCNN (2021)
Xiong Yang, Haibo He, Xiangnan Zhong
Approximate Dynamic Programming for Nonlinear-Constrained Optimizations. IEEE Trans. Cybern. 51 (5) (2021)
Xiangnan Zhong, Zhen Ni
An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks. SSCI (2021)
Xiangnan Zhong, Haibo He
GrHDP Solution for Optimal Consensus Control of Multiagent Discrete-Time Systems. IEEE Trans. Syst. Man Cybern. Syst. 50 (7) (2020)
Yang Yang, Chuang Xu, Dong Yue, Xiangnan Zhong, Xuefeng Si, Jie Tan
Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information. Neurocomputing 378 (2020)
Xiangnan Zhong, Haibo He
Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming. IJCNN (2020)
Zhen Ni, Naresh Malla, Xiangnan Zhong
Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems. IEEE Trans. Cybern. 49 (11) (2019)
Jun Yi, Shi Chen, Xiangnan Zhong, Wei Zhou, Haibo He
Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems. IEEE Trans. Ind. Informatics 15 (3) (2019)
Ding Wang, Xiangnan Zhong
Advanced policy learning near-optimal regulation. IEEE CAA J. Autom. Sinica 6 (3) (2019)
Dong Xie, Xiangnan Zhong
Deep Deterministic Policy Gradients with Transfer Learning Framework in StarCraft Micromanagement. EIT (2019)
Xiangnan Zhong, Haibo He, Ding Wang, Zhen Ni
Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game. IEEE Trans. Cybern. 48 (5) (2018)
Xiong Yang, Haibo He, Xiangnan Zhong
Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems. IEEE Trans. Ind. Electron. 65 (7) (2018)
Xiangnan Zhong, Zhen Ni
Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances. IJCNN (2018)
Haibo He, Xiangnan Zhong
Learning Without External Reward [Research Frontier]. IEEE Comput. Intell. Mag. 13 (3) (2018)
Xiangnan Zhong, Zhen Ni, Haibo He
Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming. IEEE Trans. Cybern. 47 (10) (2017)
Zhen Ni, Shuva Paul, Xiangnan Zhong, Qinglai Wei
A reinforcement learning approach for sequential decision-making process of attacks in smart grid. SSCI (2017)
Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints. IEEE Trans. Neural Networks Learn. Syst. 28 (8) (2017)
Zhen Ni, Priti Paudyal, Xiangnan Zhong
A computational intelligence approach for residential home energy management considering reward incentives. SSCI (2017)
Jun Yan, Haibo He, Xiangnan Zhong, Yufei Tang
Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks. IEEE Trans. Inf. Forensics Secur. 12 (1) (2017)
Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He
Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 28 (7) (2017)
Zhen Ni, Naresh Malla, Xiangnan Zhong
Towards enabling deep learning techniques for adaptive dynamic programming. IJCNN (2017)
Ding Wang, Haibo He, Xiangnan Zhong, Derong Liu
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application. IEEE Trans. Ind. Electron. 64 (10) (2017)
Xiangnan Zhong, Haibo He
An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States. IEEE Trans. Cybern. 47 (3) (2017)
Xiangnan Zhong, Zhen Ni, Haibo He
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27 (12) (2016)
Xiangnan Zhong, Zhen Ni, Haibo He
Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system. IJCNN (2016)
Shiva Poudel, Zhen Ni, Xiangnan Zhong, Haibo He
Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning. IJCNN (2016)
Avijit Das, Zhen Ni, Xiangnan Zhong
Near optimal control for microgrid energy systems considering battery lifetime characteristics. SSCI (2016)
Avijit Das, Zhen Ni, Timothy M. Hansen, Xiangnan Zhong
Energy storage system operation: Case studies in deterministic and stochastic environments. ISGT (2016)
Yufei Tang, Haibo He, Zhen Ni, Xiangnan Zhong, Dongbin Zhao, Xin Xu
Fuzzy-Based Goal Representation Adaptive Dynamic Programming. IEEE Trans. Fuzzy Syst. 24 (5) (2016)
Zhen Ni, Haibo He, Xiangnan Zhong, Danil V. Prokhorov
Model-Free Dual Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 26 (8) (2015)
Xiangnan Zhong, Haibo He, Huaguang Zhang, Zhanshan Wang
A neural network based online learning and control approach for Markov jump systems. Neurocomputing 149 (2015)
Xiangnan Zhong, Zhen Ni, Haibo He
Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data. IJCNN (2015)
Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He
Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems. IJCNN (2015)
Zhen Ni, Xiangnan Zhong, Haibo He
A boundedness theoretical analysis for GrADP design: A case study on maze navigation. IJCNN (2015)
Xiangnan Zhong, Haibo He, Huaguang Zhang, Zhanshan Wang
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 25 (12) (2014)
Xiangnan Zhong, Zhen Ni, Haibo He, Xin Xu, Dongbin Zhao
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. IJCNN (2014)
Xiangnan Zhong, Zhen Ni, Yufei Tang, Haibo He
Data-driven partially observable dynamic processes using adaptive dynamic programming. ADPRL (2014)
Yufei Tang, Xiangnan Zhong, Zhen Ni, Jun Yan, Haibo He
Impact of signal transmission delays on power system damping control using heuristic dynamic programming. CIASG (2014)
Xiangnan Zhong, Haibo He, Danil V. Prokhorov
Robust controller design of continuous-time nonlinear system using neural network. IJCNN (2013)