Xiangnan Zhong

Orcid: 0000-0002-8367-0215

According to our database1, Xiangnan Zhong authored at least 46 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems.
IEEE Trans. Artif. Intell., June, 2024

Federated Learning for Crowd Counting in Smart Surveillance Systems.
IEEE Internet Things J., February, 2024

Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games.
IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Approximate Dynamic Programming for Nonlinear-Constrained Optimizations.
IEEE Trans. Cybern., 2021

Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances.
IEEE CAA J. Autom. Sinica, 2021

An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
GrHDP Solution for Optimal Consensus Control of Multiagent Discrete-Time Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information.
Neurocomputing, 2020

Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems.
IEEE Trans. Ind. Informatics, 2019

Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems.
IEEE Trans. Cybern., 2019

Advanced policy learning near-optimal regulation.
IEEE CAA J. Autom. Sinica, 2019

Deep Deterministic Policy Gradients with Transfer Learning Framework in StarCraft Micromanagement.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

2018
Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems.
IEEE Trans. Ind. Electron., 2018

Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game.
IEEE Trans. Cybern., 2018

Learning Without External Reward [Research Frontier].
IEEE Comput. Intell. Mag., 2018

Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2017

Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017

Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks.
IEEE Trans. Inf. Forensics Secur., 2017

Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application.
IEEE Trans. Ind. Electron., 2017

Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming.
IEEE Trans. Cybern., 2017

An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States.
IEEE Trans. Cybern., 2017

A reinforcement learning approach for sequential decision-making process of attacks in smart grid.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A computational intelligence approach for residential home energy management considering reward incentives.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Towards enabling deep learning techniques for adaptive dynamic programming.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2016

Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst., 2016

Near optimal control for microgrid energy systems considering battery lifetime characteristics.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Energy storage system operation: Case studies in deterministic and stochastic environments.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Model-Free Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2015

A neural network based online learning and control approach for Markov jump systems.
Neurocomputing, 2015

Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A boundedness theoretical analysis for GrADP design: A case study on maze navigation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2014

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Impact of signal transmission delays on power system damping control using heuristic dynamic programming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

Data-driven partially observable dynamic processes using adaptive dynamic programming.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Robust controller design of continuous-time nonlinear system using neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013


  Loading...