Xiong Yang

Orcid: 0000-0002-0128-3036

Affiliations:
  • Tianjin University, School of Electrical and Information Engineering, China


According to our database1, Xiong Yang authored at least 50 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
Approximate Dynamic Programming for Event-Driven H<sub>∞</sub> Constrained Control.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Adaptive Dynamic Programming for Nonlinear-Constrained H<sub>∞</sub> Control.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators.
Neural Networks, January, 2023

2022
Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs.
IEEE Trans. Neural Networks Learn. Syst., 2022

Decentralized Neurocontroller Design With Critic Learning for Nonlinear-Interconnected Systems.
IEEE Trans. Cybern., 2022

2021
Adaptive Critic Learning for Constrained Optimal Event-Triggered Control With Discounted Cost.
IEEE Trans. Neural Networks Learn. Syst., 2021

Adaptive Critic Designs for Optimal Event-Driven Control of a CSTR System.
IEEE Trans. Ind. Informatics, 2021

Multitask-Based Temporal-Channelwise CNN for Parameter Prediction of Two-Phase Flows.
IEEE Trans. Ind. Informatics, 2021

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

Event-Driven H<sub>∞</sub>-Constrained Control Using Adaptive Critic Learning.
IEEE Trans. Cybern., 2021

Decentralized Event-Triggered Control for a Class of Nonlinear-Interconnected Systems Using Reinforcement Learning.
IEEE Trans. Cybern., 2021

Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems.
IEEE Trans. Cybern., 2021

2020
Adaptive Critic Learning and Experience Replay for Decentralized Event-Triggered Control of Nonlinear Interconnected Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Event-Triggered Robust Stabilization of Nonlinear Input-Constrained Systems Using Single Network Adaptive Critic Designs.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Adaptive Dynamic Programming for Decentralized Stabilization of Uncertain Nonlinear Large-Scale Systems With Mismatched Interconnections.
IEEE Trans. Syst. Man Cybern. Syst., 2020

A Coincidence-Filtering-Based Approach for CNNs in EEG-Based Recognition.
IEEE Trans. Ind. Informatics, 2020

Event-driven H∞ control with critic learning for nonlinear systems.
Neural Networks, 2020

2019
Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Adaptive Critic Designs for Event-Triggered Robust Control of Nonlinear Systems With Unknown Dynamics.
IEEE Trans. Cybern., 2019

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

Policy Iteration for H<sub>∞</sub> Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming.
IEEE Trans. Cybern., 2018

Distributed algorithm for dissensus of a class of networked multiagent systems using output information.
Soft Comput., 2018

Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances.
Neural Networks, 2018

Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections.
Neural Networks, 2018

Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties.
Inf. Sci., 2018

2017
Event-Based Constrained Robust Control of Affine Systems Incorporating an Adaptive Critic Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Multi-step heuristic dynamic programming for optimal control of nonlinear discrete-time systems.
Inf. Sci., 2017

Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems.
Int. J. Syst. Sci., 2017

Data-driven robust regulation of nonlinear systems with mismatched disturbances.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems.
Inf. Sci., 2016

Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning.
Inf. Sci., 2016

Guaranteed cost neural tracking control for a class of uncertain nonlinear systems using adaptive dynamic programming.
Neurocomputing, 2016

2015
Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

Data-Driven H<sub>∞</sub> Control for Nonlinear Distributed Parameter Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints.
IEEE Trans. Cybern., 2015

H ∞ Control Synthesis for Linear Parabolic PDE Systems with Model-Free Policy Iteration.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Robust Tracking Control of Uncertain Nonlinear Systems Using Adaptive Dynamic Programming.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2014

Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems.
IEEE Trans. Cybern., 2014

Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning.
Neural Networks, 2014

Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints.
Int. J. Control, 2014

Reinforcement-Learning-Based Controller Design for Nonaffine Nonlinear Systems.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Near-optimal online control of uncertain nonlinear continuous-time systems based on concurrent learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Adaptive optimal control for a class of continuous-time affine nonlinear systems with unknown internal dynamics.
Neural Comput. Appl., 2013

An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs.
Inf. Sci., 2013

Observer-Based Adaptive Output Feedback Control for Nonaffine Nonlinear Discrete-Time Systems Using Reinforcement Learning.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Neuro-Optimal Control of Unknown Nonaffine Nonlinear Systems with Saturating Actuators.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013


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