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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：387/153  |  提交时间：2016/10/28
Data Driven  
Scalable Multi-objects meta-level coordinated learning in Internet of Things 期刊论文
Personal and Ubiquitous Computing, 2015, 卷号: 19, 期号: 7, 页码: 1133–1144
作者:  Wang JP(王军平);  JUNPING WANG
浏览  |  Adobe PDF(3565Kb)  |  收藏  |  浏览/下载：352/128  |  提交时间：2016/10/20
Coordinated  Multi-objects System  Meta-level Control  Coordinated Learning  
Exploring How the Tobacco Industry Presents and Promotes Itself in Social Media 期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2015, 卷号: 17, 期号: 1, 页码: e24
作者:  Liang, Yunji;  Zheng, Xiaolong;  Zeng, Daniel Dajun;  Zhou, Xingshe;  Leischow, Scott James;  Chung, Wingyan
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：468/127  |  提交时间：2016/10/20
Cigarette Brands  Promotional Strategy  Social Media  Tobacco Control  Tobacco Promotion  
Modeling Social Influence on Activity-Travel Behaviors Using Artificial Transportation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 3, 页码: 1576-1581
作者:  Chen, Songhang;  Liu, Zhong;  Shen, Dayong
浏览  |  Adobe PDF(688Kb)  |  收藏  |  浏览/下载：521/167  |  提交时间：2016/10/15
Social Networks  Activity-travel Behaviors  Artificial Transportation Systems (Atss)  Social Interactions  Social Learning  
Off-policy reinforcement learning for H∞ control design 期刊论文
IEEE Transactions on Cybernetics, 2015, 卷号: 45, 期号: 1, 页码: 65-76
作者:  Luo, Biao;  Wu, Huai-Ning;  Huang, Tingwen
浏览  |  Adobe PDF(680Kb)  |  收藏  |  浏览/下载：255/71  |  提交时间：2016/04/08
Off-policy  
Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 684-696
作者:  Luo, Biao;  Wu, Huai-Ning;  Li, Han-Xiong
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Adaptive Optimal Control  Empirical Eigenfunction (Eef)  Highly Dissipative Partial Differential Equations (Pdes)  Neuro-dynamic Programming (Ndp)  Spatially Distributed Processes (Sdps)  
Reinforcement learning solution for HJB equation arising in constrained optimal control problem 期刊论文
NEURAL NETWORKS, 2015, 卷号: 71, 期号: 0, 页码: 150-158
作者:  Luo, Biao;  Wu, Huai-Ning;  Huang, Tingwen;  Liu, Derong
浏览  |  Adobe PDF(530Kb)  |  收藏  |  浏览/下载：496/210  |  提交时间：2016/03/30
Constrained Optimal Control  Data-based  Off-policy Reinforcement Learning  Hamilton-jacobi-bellman Equation  The Method Of Weighted Residuals  
A novel policy iteration based deterministic Q-learning for discrete-time nonlinear systems 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2015, 卷号: 58, 期号: 12, 页码: 122203:1–122203:15
作者:  Wei QingLai;  Liu DeRong;  Derong Liu
Adobe PDF(1215Kb)  |  收藏  |  浏览/下载：339/137  |  提交时间：2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Q-learning  Policy Iteration  Neural Networks  Nonlinear Systems  Optimal Control  
Aberrant Topological Patterns of Structural Cortical Networks in Psychogenic Erectile Dysfunction 期刊论文
FRONTIERS IN HUMAN NEUROSCIENCE, 2015, 卷号: 9, 期号: 157, 页码: 180-180
作者:  Zhao, Lu;  Guan, Min;  Zhu, Xiaobo;  Karama, Sherif;  Khundrakpam, Budhachandra;  Wang, Meiyun;  Dong, Minghao;  Qin, Wei;  Tian, Jie;  Evans, Alan C.;  Shi, Dapeng
Adobe PDF(4489Kb)  |  收藏  |  浏览/下载：440/94  |  提交时间：2016/03/19
Male Sexual Arousal  Magnetic Resonance Imaging  Network Topology  Graph Theory  Psychogenic Erectile Dysfunction  
Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 12, 页码: 1577-1591
作者:  Liu, Derong;  Wei, Qinglai;  Yan, Pengfei
浏览  |  Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：274/85  |  提交时间：2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Generalized Policy Iteration  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning