ADP-based optimal control for a class of nonlinear discrete-time systems with inequality constraints. - Yanhong Luo; Geyang Xiao (ADPRL, 2014)

Online optimal control of unknown discrete-time nonlinear systems by using time-based adaptive dynamic programming. - Geyang Xiao; Huaguang Zhang; Yanhong Luo (Neurocomputing, 2015)

Fault-Tolerant Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems via Online Reinforcement Learning Algorithm. - Zhanshan Wang; Lei Liu 006; Huaguang Zhang; Geyang Xiao (IEEE Trans. Syst. Man Cybern. Syst., 2016)

A modified fuzzy min-max neural network for data clustering and its application on pipeline internal inspection data. - Jinhai Liu; Yanjuan Ma; Huaguang Zhang; Hanguang Su; Geyang Xiao (Neurocomputing, 2017)

General value iteration based reinforcement learning for solving optimal tracking control problem of continuous-time affine nonlinear systems. - Geyang Xiao; Huaguang Zhang; Yanhong Luo; Qiuxia Qu (Neurocomputing, 2017)

Tracking control optimization scheme of continuous-time nonlinear system via online single network adaptive critic design method. - Kun Zhang 005; Huaguang Zhang; Geyang Xiao; Hanguang Su (Neurocomputing, 2017)

Discrete-Time Nonzero-Sum Games for Multiplayer Using Policy-Iteration-Based Adaptive Dynamic Programming Algorithms. - Huaguang Zhang; He Jiang 002; Chaomin Luo; Geyang Xiao (IEEE Trans. Cybern., 2017)

Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method. - Huaguang Zhang; He Jiang 002; Yanhong Luo; Geyang Xiao (IEEE Trans. Ind. Electron., 2017)

Robust control scheme for a class of uncertain nonlinear systems with completely unknown dynamics using data-driven reinforcement learning method. - He Jiang 002; Huaguang Zhang; Yang Cui 002; Geyang Xiao (Neurocomputing, 2018)

Data-based approximate optimal control for nonzero-sum games of multi-player systems using adaptive dynamic programming. - He Jiang 002; Huaguang Zhang; Geyang Xiao; Xiaohong Cui (Neurocomputing, 2018)

Value iteration based integral reinforcement learning approach for H∞ controller design of continuous-time nonlinear systems. - Geyang Xiao; Huaguang Zhang; Kun Zhang 005; Yinlei Wen (Neurocomputing, 2018)

General value iteration based single network approach for constrained optimal controller design of partially-unknown continuous-time nonlinear systems. - Geyang Xiao; Huaguang Zhang; Qiuxia Qu; He Jiang 002 (J. Frankl. Inst., 2018)

Reinforcement learning-based online adaptive controller design for a class of unknown nonlinear discrete-time systems with time delays. - Yuling Liang; Huaguang Zhang; Geyang Xiao; He Jiang 002 (Neural Comput. Appl., 2018)

Optimal Guaranteed Cost Sliding Mode Control for Constrained-Input Nonlinear Systems With Matched and Unmatched Disturbances. - Huaguang Zhang; Qiuxia Qu; Geyang Xiao; Yang Cui 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Integral reinforcement learning based decentralized optimal tracking control of unknown nonlinear large-scale interconnected systems with constrained-input. - Chong Liu 004; Huaguang Zhang; Geyang Xiao; Shaoxin Sun (Neurocomputing, 2019)

Data-Based Adaptive Dynamic Programming for a Class of Discrete-Time Systems With Multiple Delays. - Huaguang Zhang; Yang Liu 160; Geyang Xiao; He Jiang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Value Iteration-Based H∞ Controller Design for Continuous-Time Nonlinear Systems Subject to Input Constraints. - Huaguang Zhang; Geyang Xiao; Yang Liu 160; Lei Liu 006 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Robust Optimal Control Scheme for Unknown Constrained-Input Nonlinear Systems via a Plug-n-Play Event-Sampled Critic-Only Algorithm. - Huaguang Zhang; Kun Zhang 005; Geyang Xiao; He Jiang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

An Adaptive Swarm Intelligence-Based Task Scheduling Framework for Heterogeneous IoT Systems. - Zhiyu Wang; Caijun Sun; Shunbin Li; Congqi Shen; Geyang Xiao (ICNCC, 2021)

Optimal design of hybrid renewable energy system considering equipment performance and annual cost. - Yongxin Hu; Zhen Zhu; Geyang Xiao; Boyang Zhou; Tao Zou; Ruyun Zhang (SPAC, 2021)

An LSTM based Malicious Traffic Attack Detection in Industrial Internet. - Congqi Shen; Geyang Xiao; Shaofeng Yao; Boyang Zhou; Zhongxia Pan; Hong Zhang (SPAC, 2021)

Value Iteration Algorithm for Nonlinear Continuous-time Nonzero-Sum Games. - Geyang Xiao; Ruyun Zhang; Tao Zou; Shunbin Li; Boyang Zhou; Congqi Shen (SPAC, 2021)

A mimicry defense based algorithm diversification dynamic scheduling mechanism. - Lei Xue; Geyang Xiao; Tao Zou; Ruyun Zhang; Xingming Zhang (SPAC, 2021)

A Graph Reinforcement Learning Routing Scheme Based on Nodes and Edges Co-Embedding. - Yuanhao He; Geyang Xiao; Yuan Liang; Donghui Lu; Xiaofeng Cheng (ICC, 2024)

Reinforcement learning-based SDN routing scheme empowered by causality detection and GNN. - Yuanhao He; Geyang Xiao; Jun Zhu; Tao Zou; Yuan Liang (Frontiers Comput. Neurosci., 2024)

Convergence Analysis of Value Iteration Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems. - Geyang Xiao; Huaguang Zhang (IEEE Trans. Cybern., 2024)