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Local joint information based active fault tolerant control for reconfigurable manipulator 期刊论文
Nonlinear Dynamics, 2014, 卷号: 77, 期号: 3, 页码: 859-876
作者:  Zhao B(赵博)
浏览  |  Adobe PDF(1165Kb)  |  收藏  |  浏览/下载：208/57  |  提交时间：2018/10/14
Reconfigurable Manipulators  Local Joint Information  Fault Detection And Identification  Active Fault Tolerant Control  Nonlinear Velocity Observer  Radial Basis Function Neural Network  
Online reinforcement learning for continuous-state systems 专著章节/文集论文
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Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载：277/35  |  提交时间：2017/09/13
Cheating Behavior Detection based-on Pictorial Structure Model 会议论文
, Nanjing, China, 28-30 July 2014
作者:  Lv Le;  Zhao Dongbin;  Fan Zhijiang
浏览  |  Adobe PDF(259Kb)  |  收藏  |  浏览/下载：390/145  |  提交时间：2017/05/08
Pose Estimation  Cheating Behavior Detection  Pictorial Structure Model  Belief Propagation  
Approximate optimal solution of the DTHJB equation for a class of nonlinear affine systems with unknown dead-zone constraints 期刊论文
SOFT COMPUTING, 2014, 卷号: 18, 期号: 2, 页码: 349-357
作者:  Zhang, Dehua;  Liu, Derong;  Wang, Ding
Adobe PDF(621Kb)  |  收藏  |  浏览/下载：215/77  |  提交时间：2015/08/12
Nonlinear Affine System  Dead-zone  Dthjb  Neural Networks  Riemann Integral  
Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems 期刊论文
SOFT COMPUTING, 2014, 卷号: 18, 期号: 8, 页码: 1645-1653
作者:  Song, Ruizhuo;  Xiao, Wendong;  Wei, Qinglai;  Sun, Changyin;  Ruizhuo Song
浏览  |  Adobe PDF(483Kb)  |  收藏  |  浏览/下载：396/107  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Unknown Nonlinear Systems  Optimal Control  Data-based  
Online approximate optimal control for affine non-linear systems with unknown internal dynamics using adaptive dynamic programming 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2014, 卷号: 8, 期号: 16, 页码: 1676-1688
作者:  Yang, Xiong;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(624Kb)  |  收藏  |  浏览/下载：365/143  |  提交时间：2015/08/12
Data-Driven Neuro-Optimal Temperature Control of Water-Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 卷号: 61, 期号: 11, 页码: 6399-6408
作者:  Wei, Qinglai;  Liu, Derong;  Derong Liu
浏览  |  Adobe PDF(664Kb)  |  收藏  |  浏览/下载：295/109  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Approximation Errors  Data-driven Control  Neural Networks (Nns)  Optimal Control  Reinforcement Learning  Water-gas Shift (Wgs)  
Adaptive Dynamic Programming for Optimal Tracking Control of Unknown Nonlinear Systems With Application to Coal Gasification 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2014, 卷号: 11, 期号: 4, 页码: 1020-1036
作者:  Wei, Qinglai;  Liu, Derong;  Derong Liu
浏览  |  Adobe PDF(5948Kb)  |  收藏  |  浏览/下载：313/89  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Coal Gasification  Data-based Control  Finite Approximation Errors  Neural Networks  Optimal Tracking Control