Robust controller design of continuous-time nonlinear system using neural network. - Xiangnan Zhong; Haibo He; Danil V. Prokhorov (IJCNN, 2013)

Data-driven partially observable dynamic processes using adaptive dynamic programming. - Xiangnan Zhong; Zhen Ni; Yufei Tang; Haibo He (ADPRL, 2014)

Impact of signal transmission delays on power system damping control using heuristic dynamic programming. - Yufei Tang; Xiangnan Zhong; Zhen Ni; Jun Yan 007; Haibo He (CIASG, 2014)

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. - Xiangnan Zhong; Zhen Ni; Haibo He; Xin Xu 001; Dongbin Zhao (IJCNN, 2014)

Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming. - Xiangnan Zhong; Haibo He; Huaguang Zhang; Zhanshan Wang (IEEE Trans. Neural Networks Learn. Syst., 2014)

Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems. - Lu Dong 002; Xiangnan Zhong; Changyin Sun 001; Haibo He (IJCNN, 2015)

A boundedness theoretical analysis for GrADP design: A case study on maze navigation. - Zhen Ni; Xiangnan Zhong; Haibo He (IJCNN, 2015)

Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data. - Xiangnan Zhong; Zhen Ni; Haibo He (IJCNN, 2015)

A neural network based online learning and control approach for Markov jump systems. - Xiangnan Zhong; Haibo He; Huaguang Zhang; Zhanshan Wang (Neurocomputing, 2015)

Model-Free Dual Heuristic Dynamic Programming. - Zhen Ni; Haibo He; Xiangnan Zhong; Danil V. Prokhorov (IEEE Trans. Neural Networks Learn. Syst., 2015)

Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning. - Shiva Poudel; Zhen Ni; Xiangnan Zhong; Haibo He (IJCNN, 2016)

Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system. - Xiangnan Zhong; Zhen Ni; Haibo He (IJCNN, 2016)

Energy storage system operation: Case studies in deterministic and stochastic environments. - Avijit Das; Zhen Ni; Timothy M. Hansen; Xiangnan Zhong (ISGT, 2016)

Near optimal control for microgrid energy systems considering battery lifetime characteristics. - Avijit Das; Zhen Ni; Xiangnan Zhong (SSCI, 2016)

Fuzzy-Based Goal Representation Adaptive Dynamic Programming. - Yufei Tang; Haibo He; Zhen Ni; Xiangnan Zhong; Dongbin Zhao; Xin Xu 001 (IEEE Trans. Fuzzy Syst., 2016)

A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming. - Xiangnan Zhong; Zhen Ni; Haibo He (IEEE Trans. Neural Networks Learn. Syst., 2016)

Towards enabling deep learning techniques for adaptive dynamic programming. - Zhen Ni; Naresh Malla; Xiangnan Zhong (IJCNN, 2017)

A computational intelligence approach for residential home energy management considering reward incentives. - Zhen Ni; Priti Paudyal; Xiangnan Zhong (SSCI, 2017)

A reinforcement learning approach for sequential decision-making process of attacks in smart grid. - Zhen Ni; Shuva Paul; Xiangnan Zhong; Qinglai Wei (SSCI, 2017)

An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States. - Xiangnan Zhong; Haibo He (IEEE Trans. Cybern., 2017)

Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming. - Xiangnan Zhong; Zhen Ni; Haibo He (IEEE Trans. Cybern., 2017)

Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application. - Ding Wang 001; Haibo He; Xiangnan Zhong; Derong Liu 001 (IEEE Trans. Ind. Electron., 2017)

Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks. - Jun Yan 007; Haibo He; Xiangnan Zhong; Yufei Tang (IEEE Trans. Inf. Forensics Secur., 2017)

Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems. - Lu Dong 002; Xiangnan Zhong; Changyin Sun 001; Haibo He (IEEE Trans. Neural Networks Learn. Syst., 2017)

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints. - Lu Dong 002; Xiangnan Zhong; Changyin Sun 001; Haibo He (IEEE Trans. Neural Networks Learn. Syst., 2017)

Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances. - Xiangnan Zhong; Zhen Ni (IJCNN, 2018)

Learning Without External Reward [Research Frontier]. - Haibo He; Xiangnan Zhong (IEEE Comput. Intell. Mag., 2018)

Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game. - Xiangnan Zhong; Haibo He; Ding Wang 001; Zhen Ni (IEEE Trans. Cybern., 2018)

Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems. - Xiong Yang 001; Haibo He; Xiangnan Zhong (IEEE Trans. Ind. Electron., 2018)

Deep Deterministic Policy Gradients with Transfer Learning Framework in StarCraft Micromanagement. - Dong Xie; Xiangnan Zhong (EIT, 2019)

Advanced policy learning near-optimal regulation. - Ding Wang 001; Xiangnan Zhong (IEEE CAA J. Autom. Sinica, 2019)

Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems. - Zhen Ni; Naresh Malla; Xiangnan Zhong (IEEE Trans. Cybern., 2019)

Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems. - Jun Yi; Shi Chen; Xiangnan Zhong; Wei Zhou 017; Haibo He (IEEE Trans. Ind. Informatics, 2019)

Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming. - Xiangnan Zhong; Haibo He (IJCNN, 2020)

Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information. - Yang Yang 052; Chuang Xu; Dong Yue 001; Xiangnan Zhong; Xuefeng Si; Jie Tan (Neurocomputing, 2020)

GrHDP Solution for Optimal Consensus Control of Multiagent Discrete-Time Systems. - Xiangnan Zhong; Haibo He (IEEE Trans. Syst. Man Cybern. Syst., 2020)

A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs. - Xiangnan Zhong; Haibo He (IJCNN, 2021)

An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks. - Xiangnan Zhong; Zhen Ni (SSCI, 2021)

Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances. - Qinglai Wei; Xin Wang; Xiangnan Zhong; Naiqi Wu (IEEE CAA J. Autom. Sinica, 2021)

Approximate Dynamic Programming for Nonlinear-Constrained Optimizations. - Xiong Yang 001; Haibo He; Xiangnan Zhong (IEEE Trans. Cybern., 2021)

Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. - Yanbin Lin; Zhen Ni; Xiangnan Zhong (IJCNN, 2022)

Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games. - Dong Xie; Xiangnan Zhong (IEEE Trans. Neural Networks Learn. Syst., 2022)

An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. - Hepeng Li; Xiangnan Zhong; Haibo He (IJCNN, 2023)

Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information. - Xiaoyao Zheng; Zhen Ni; Xiangnan Zhong; Yonglong Luo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Federated Learning for Crowd Counting in Smart Surveillance Systems. - Yiran Pang; Zhen Ni; Xiangnan Zhong (IEEE Internet Things J., 2024)

A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems. - Xiangnan Zhong; Zhen Ni (IEEE Trans. Artif. Intell., 2024)

A fast federated reinforcement learning approach with phased weight-adjustment technique. - Yiran Pang; Zhen Ni; Xiangnan Zhong (Neurocomputing, 2025)

A Two-Level Neural-RL-Based Approach for Hierarchical Multiplayer Systems Under Mismatched Uncertainties. - Xiangnan Zhong; Zhen Ni (IEEE Trans. Artif. Intell., 2025)

Assessing behavior cloning with RGB inputs in surgical robotics through dataset ablation. - Matthew Acs; Xiangnan Zhong (Adv. Robotics, 2025)

Learning From Demonstrations: A Computationally Efficient Inverse Reinforcement Learning Approach With Simplified Implementation. - Yanbin Lin; Zhen Ni; Xiangnan Zhong (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Intelligent Control in Asymmetric Decision-Making: An Event-Triggered RL Approach for Mismatched Uncertainties. - Xiangnan Zhong; Zhen Ni (IEEE Trans. Syst. Man Cybern. Syst., 2025)