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A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369
作者:  Zhong, Weifeng;  Wang, Mengxuan;  Wei, Qinglai;  Lu, Jingwei
收藏  |  浏览/下载：196/0  |  提交时间：2022/06/10
Integral reinforcement learning  Nuclear power reactor  Nonlinear system  Optimal tracking control  Neural networks  
Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances 期刊论文
NEUROCOMPUTING, 2020, 卷号: 396, 页码: 201-208
作者:  Zhao, Bo;  Shi, Guang;  Wang, Ding
收藏  |  浏览/下载：201/0  |  提交时间：2020/07/06
Adaptive dynamic programming  Adaptive critic designs  Mismatched external disturbances  Disturbance observer  Optimal control  Neural networks  Nested tuning law  
Torque sensorless decentralized neuro-optimal control for modular and reconfigurable robots with uncertain environments 期刊论文
NEUROCOMPUTING, 2018, 卷号: 282, 页码: 60-73
作者:  Dong, Bo;  Zhou, Fan;  Liu, Keping;  Li, Yuanchun
收藏  |  浏览/下载：232/0  |  提交时间：2019/12/16
Modular and reconfigurable robot  Decentralized control  Adaptive dynamic programming (ADP)  Optimal control  Neural networks  
A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 353-360
作者:  Wang, Ding;  Mu, Chaoxu
Adobe PDF(1503Kb)  |  收藏  |  浏览/下载：302/63  |  提交时间：2018/03/03
Adaptive Dynamic Programming  Adaptive System  Learning Control  Neural Network  Optimal Regulator  Stability  
Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 128-140
作者:  Huang, Yuzhu;  Wang, Ding;  Liu, Derong
Adobe PDF(1876Kb)  |  收藏  |  浏览/下载：329/85  |  提交时间：2018/03/03
Neural Networks  Optimal Control  Adaptive Dynamic Programming  Bounded Robust Control  Uncertain Nonlinear Systems  
Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation 期刊论文
NEUROCOMPUTING, 2017, 卷号: 260, 页码: 432-442
作者:  Mu, Chaoxu;  Sun, Changyin;  Wang, Ding;  Song, Aiguo
Adobe PDF(1555Kb)  |  收藏  |  浏览/下载：413/157  |  提交时间：2017/09/12
Adaptive Tracking Control  Hamilton-jacobi-bellman (Hjb) Equation  Adaptive Dynamic Programming (Adp)  Neural Networks  Uncertainties  
Neural-network-based synchronous iteration learning method for multi-player zero-sum games 期刊论文
NEUROCOMPUTING, 2017, 卷号: 242, 页码: 73-82
作者:  Song, Ruizhuo;  Wei, Qinglai;  Song, Biao
收藏  |  浏览/下载：338/0  |  提交时间：2017/09/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Adaptive Critic Designs  Multi-player  Iteration Learning  Neural Network  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载：347/135  |  提交时间：2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：379/119  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm 期刊论文
NEUROCOMPUTING, 2015, 卷号: 168, 期号: x, 页码: 520-528
作者:  Wei, Qinglai;  Song, Ruizhuo;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(2222Kb)  |  收藏  |  浏览/下载：613/236  |  提交时间：2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks