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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：191/0  |  提交时间：2018/10/10
Adaptive Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Unmatched Uncertainty  
Adaptive neural network-based visual servoing control for manipulator with unknown output nonlinearities 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 451, 页码: 16-33
作者:  Wang, Fujie;  Liu, Zhi;  Chen, C. L. P.;  Zhang, Yun
收藏  |  浏览/下载：171/0  |  提交时间：2019/12/16
Neural network-based control  Adaptive control  Unknown output nonlinearities  Robotic manipulator  Unknown dynamics  
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：374/124  |  提交时间：2017/09/12
Optimal Control  Multi-step Heuristic Dynamic Programming  Adaptive Dynamic Programming  Nonlinear Systems  Discrete-time  Neural Networks  
Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems 期刊论文
INFORMATION SCIENCES, 2017, 期号: 384, 页码: 21-33
作者:  Zhao, Bo;  Liu, Derong;  Li, Yuanchun
浏览  |  Adobe PDF(1581Kb)  |  收藏  |  浏览/下载：360/131  |  提交时间：2017/05/05
Adaptive Dynamic Programming  Fault Tolerant Control  Policy Iteration  Nonlinear Systems  Fault Observer  Neural Network  
Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 369, 页码: 731-747
作者:  Yang, Xiong;  Liu, Derong;  Luo, Biao;  Li, Chao
收藏  |  浏览/下载：214/0  |  提交时间：2016/12/26
Adaptive Dynamic Programming  Input Constraint  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  
Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties 期刊论文
INFORMATION SCIENCES, 2016, 期号: 366, 页码: 121-133
作者:  Wang, Ding;  Li, Chao;  Liu, Derong;  Mu, Chaoxu
浏览  |  Adobe PDF(782Kb)  |  收藏  |  浏览/下载：471/187  |  提交时间：2016/10/20
Adaptive Dynamic Programming  Data-based Control  Integral Policy Iteration  Matched Uncertainties  Neural Networks  Robust Optimal Control  
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：398/114  |  提交时间：2016/01/18
Adaptive Dynamic Programming  Hamilton-jacobi-isaacs Equation  Input Constraint  Neural Network  Optimal Control  Reinforcement Learning  
Finite-time cascaded tracking control approach for mobile robots 期刊论文
INFORMATION SCIENCES, 2014, 卷号: 284, 期号: 0, 页码: 31-43
作者:  Zhang, Yangming;  Liu, Guorong;  Luo, Biao
浏览  |  Adobe PDF(698Kb)  |  收藏  |  浏览/下载：229/93  |  提交时间：2015/08/12
Mobile Robot  Cascaded Design  Trajectory Tracking  Finite-time Control  Nonholonomic System  Sliding Mode Control  
Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming 期刊论文
INFORMATION SCIENCES, 2014, 卷号: 282, 页码: 167-179
作者:  Wang, Ding;  Liu, Derong;  Li, Hongliang;  Ma, Hongwen
Adobe PDF(697Kb)  |  收藏  |  浏览/下载：274/82  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Decentralized Optimal Control  Neural Network  Robust Optimal Control  
An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs 期刊论文
INFORMATION SCIENCES, 2013, 卷号: 220, 页码: 331-342
作者:  Liu, Derong;  Wang, Ding;  Yang, Xiong
浏览  |  Adobe PDF(474Kb)  |  收藏  |  浏览/下载：236/86  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Control Constraints  Globalized Dual Heuristic Programming  Neural Networks  Optimal Control