Geyang Xiao
Orcid: 0000-0002-7597-1034
According to our database1,
Geyang Xiao
authored at least 24 papers
between 2014 and 2024.
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Bibliography
2024
Convergence Analysis of Value Iteration Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems.
IEEE Trans. Cybern., March, 2024
2021
Proceedings of the 2021 International Conference on Security, 2021
Proceedings of the 2021 International Conference on Security, 2021
Proceedings of the 2021 International Conference on Security, 2021
Optimal design of hybrid renewable energy system considering equipment performance and annual cost.
Proceedings of the 2021 International Conference on Security, 2021
An Adaptive Swarm Intelligence-Based Task Scheduling Framework for Heterogeneous IoT Systems.
Proceedings of the ICNCC 2021: The 10th International Conference on Networks, Communication and Computing, Beijing, China, December 10, 2021
2020
Robust Optimal Control Scheme for Unknown Constrained-Input Nonlinear Systems via a Plug-n-Play Event-Sampled Critic-Only Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Value Iteration-Based H<sub>∞</sub> Controller Design for Continuous-Time Nonlinear Systems Subject to Input Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Data-Based Adaptive Dynamic Programming for a Class of Discrete-Time Systems With Multiple Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2020
2019
Integral reinforcement learning based decentralized optimal tracking control of unknown nonlinear large-scale interconnected systems with constrained-input.
Neurocomputing, 2019
2018
Optimal Guaranteed Cost Sliding Mode Control for Constrained-Input Nonlinear Systems With Matched and Unmatched Disturbances.
IEEE Trans. Neural Networks Learn. Syst., 2018
Reinforcement learning-based online adaptive controller design for a class of unknown nonlinear discrete-time systems with time delays.
Neural Comput. Appl., 2018
General value iteration based single network approach for constrained optimal controller design of partially-unknown continuous-time nonlinear systems.
J. Frankl. Inst., 2018
Value iteration based integral reinforcement learning approach for <i>H</i><sub>∞</sub> controller design of continuous-time nonlinear systems.
Neurocomputing, 2018
Data-based approximate optimal control for nonzero-sum games of multi-player systems using adaptive dynamic programming.
Neurocomputing, 2018
Robust control scheme for a class of uncertain nonlinear systems with completely unknown dynamics using data-driven reinforcement learning method.
Neurocomputing, 2018
2017
Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method.
IEEE Trans. Ind. Electron., 2017
Discrete-Time Nonzero-Sum Games for Multiplayer Using Policy-Iteration-Based Adaptive Dynamic Programming Algorithms.
IEEE Trans. Cybern., 2017
Tracking control optimization scheme of continuous-time nonlinear system via online single network adaptive critic design method.
Neurocomputing, 2017
General value iteration based reinforcement learning for solving optimal tracking control problem of continuous-time affine nonlinear systems.
Neurocomputing, 2017
A modified fuzzy min-max neural network for data clustering and its application on pipeline internal inspection data.
Neurocomputing, 2017
2016
Fault-Tolerant Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems via Online Reinforcement Learning Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2016
2015
Online optimal control of unknown discrete-time nonlinear systems by using time-based adaptive dynamic programming.
Neurocomputing, 2015
2014
ADP-based optimal control for a class of nonlinear discrete-time systems with inequality constraints.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014