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On the Monotonicity of Interval Type-2 Fuzzy Logic Systems 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 卷号: 22, 期号: 5, 页码: 1197-1212
作者:  Li, Chengdong;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1881Kb)  |  收藏  |  浏览/下载：284/71  |  提交时间：2015/09/18
Data-driven Method  Fuzzy Logic System  Modeling And Control  Monotonicity  Type-2 Fuzzy  Type-reduction And Defuzzification Method  
Autonomous takeoff control system design for unmanned seaplanes 期刊论文
OCEAN ENGINEERING, 2014, 卷号: 85, 页码: 21-31
作者:  Du, Huan;  Fan, Guoliang;  Yi, Jianqiang
Adobe PDF(1133Kb)  |  收藏  |  浏览/下载：245/73  |  提交时间：2015/08/12
Unmanned Seaplane  Autonomous Takeoff  Fuzzy Identification  Gpc  Wave Forecasting  
Seeing Jesus in toast: Neural and behavioral correlates of face pareidolia 期刊论文
CORTEX, 2014, 卷号: 53, 期号: 2014, 页码: 60-77
作者:  Liu, Jiangang;  Li, Jun;  Feng, Lu;  Li, Ling;  Tian, Jie;  Lee, Kang
浏览  |  Adobe PDF(2476Kb)  |  收藏  |  浏览/下载：345/133  |  提交时间：2015/08/12
Face Processing  Fmri  Fusiform Face Area  Top-down Processing  Face Pareidolia  
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：201/71  |  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：373/101  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Unknown Nonlinear Systems  Optimal Control  Data-based  
Stable iterative adaptive dynamic programming algorithm with approximation errors for discrete-time nonlinear systems 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2014, 卷号: 24, 期号: 6, 页码: 1355-1367
作者:  Wei, Qinglai;  Liu, Derong;  Derong Liu
浏览  |  Adobe PDF(791Kb)  |  收藏  |  浏览/下载：211/55  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Adaptive Critic Designs  Optimal Control  Neural Networks  Nonlinear Systems  
Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints 期刊论文
INTERNATIONAL JOURNAL OF CONTROL, 2014, 卷号: 87, 期号: 3, 页码: 553-566
作者:  Yang, Xiong;  Liu, Derong;  Wang, Ding
浏览  |  Adobe PDF(721Kb)  |  收藏  |  浏览/下载：638/263  |  提交时间：2015/08/12
Adaptive Control  Input Constraints  Neural Networks  Optimal Control  Reinforcement Learning  
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2014, 卷号: 44, 期号: 3, 页码: 353-362
作者:  Alippi, Cesare;  Liu, Derong;  Zhao, Dongbin;  Bu, Li
浏览  |  Adobe PDF(444Kb)  |  收藏  |  浏览/下载：214/56  |  提交时间：2015/08/12
Active Classifiers  Change Detection Tests (Cdts)  Intelligent Sensing  K-nearest Neighbor  Support Vector Machine (Svm) Classifiers  
Online Synchronous Approximate Optimal Learning Algorithm for Multiplayer Nonzero-Sum Games With Unknown Dynamics 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2014, 卷号: 44, 期号: 8, 页码: 1015-1027
作者:  Liu, Derong;  Li, Hongliang;  Wang, Ding
Adobe PDF(20912Kb)  |  收藏  |  浏览/下载：228/81  |  提交时间：2015/08/12
Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Multiplayer Nonzero-sum Games  Neural Networks  Neuro-dynamic Programming  Policy Iteration  
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：272/101  |  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)