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Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Yang, Xiong;  Zhu, Yuanheng;  Dong, Na;  Wei, Qinglai
收藏  |  浏览/下载：193/0  |  提交时间：2022/01/27
Adaptive critic designs (ACDs)  adaptive dynamic programming (ADP)  decentralized event-driven control  input constraint  reinforcement learning (RL)  
Optimal Neuro-Control Strategy for Nonlinear Systems With Asymmetric Input Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 575-583
作者:  Xiong Yang;  Bo Zhao
浏览  |  Adobe PDF(1346Kb)  |  收藏  |  浏览/下载：128/42  |  提交时间：2021/03/11
Adaptive critic designs (ACDs)  asymmetric input constraint  critic neural network (CNN)  nonlinear systems  optimal control  reinforcement learning (RL)  
Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 463, 页码: 307-322
作者:  Yang, Xiong;  He, Haibo;  Wei, Qinglai;  Luo, Biao
收藏  |  浏览/下载：194/0  |  提交时间：2018/10/10
Adaptive Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Unmatched Uncertainty  
Multi-step heuristic dynamic programming for optimal control of nonlinear discrete-time systems 期刊论文
INFORMATION SCIENCES, 2017, 卷号: 411, 期号: 0, 页码: 66-83
作者:  Luo, Biao;  Liu, Derong;  Huang, Tingwen;  Yang, Xiong;  Ma, Hongwen
浏览  |  Adobe PDF(1092Kb)  |  收藏  |  浏览/下载：379/125  |  提交时间：2017/09/12
Optimal Control  Multi-step Heuristic Dynamic Programming  Adaptive Dynamic Programming  Nonlinear Systems  Discrete-time  Neural Networks  
Event-Based Constrained Robust Control of Affine Systems Incorporating an AdaptiveCritic Mechanism 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1602-1612
作者:  Wang, Ding;  Mu, Chaoxu;  Yang, Xiong;  Liu, Derong
Adobe PDF(1062Kb)  |  收藏  |  浏览/下载：312/97  |  提交时间：2017/09/12
Adaptive Critic Mechanism (Acm)  Event-based Control  Input Constraints  Nonlinear Systems  Robust Control  
Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 卷号: 48, 期号: 9, 页码: 1978-1989
作者:  Zhao, Bo;  Liu, Derong;  Yang, Xiong;  Li, Yuanchun
浏览  |  Adobe PDF(1233Kb)  |  收藏  |  浏览/下载：314/114  |  提交时间：2017/07/18
Adaptive Dynamic Programming  Decentralised Tracking Control  Unknown Large-scale Nonlinear Systems  Observer-critic Structure  Neural Networks  
Guaranteed cost neural tracking control for a class of uncertain nonlinear systems using adaptive dynamic programming 期刊论文
Neurocomputing, 2016, 卷号: 198, 期号: wu, 页码: 80
作者:  Yang, Xiong;  Liu, Derong;  Wei, Qinglai;  Wang, Ding
Adobe PDF(1487Kb)  |  收藏  |  浏览/下载：298/125  |  提交时间：2017/02/23
Adaptive Dynamic Programming  Guaranteed Cost Control  Hamilton-jacobi-bellman Equation  Neural Network  Nonlinear System  Reinforcement Learning  
Data-driven H∞ control for nonlinear distributed parameter systems 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2015, 卷号: 26, 期号: 11, 页码: 2949-2961
作者:  Luo, Biao;  Huang, Tingwen;  Wu, Huai-Ning;  Yang, Xiong
浏览  |  Adobe PDF(1844Kb)  |  收藏  |  浏览/下载：356/138  |  提交时间：2016/10/28
Data Driven  
Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 328, 页码: 435-454
作者:  Yang, Xiong;  Liu, Derong;  Ma, Hongwen;  Xu, Yancai
浏览  |  Adobe PDF(833Kb)  |  收藏  |  浏览/下载：416/118  |  提交时间：2016/01/18
Adaptive Dynamic Programming  Hamilton-jacobi-isaacs Equation  Input Constraint  Neural Network  Optimal Control  Reinforcement Learning  
Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 7, 页码: 1372-1385
作者:  Liu, Derong;  Yang, Xiong;  Wang, Ding;  Wei, Qinglai
浏览  |  Adobe PDF(1179Kb)  |  收藏  |  浏览/下载：478/246  |  提交时间：2015/09/17
Approximate Dynamic Programming (Adp)  Neural Networks (Nns)  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning (Rl)  Robust Control