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Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 12, 页码: 2834-2847
作者:  Liu, Derong;  Wang, Ding;  Wang, Fei-Yue;  Li, Hongliang;  Yang, Xiong
浏览  |  Adobe PDF(780Kb)  |  收藏  |  浏览/下载：438/204  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Hamilton-jacobi-bellman (Hjb) Equation  Neural Networks  Optimal Robust Guaranteed Cost Control  Uncertain Nonlinear Systems  
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：275/82  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Decentralized Optimal Control  Neural Network  Robust Optimal Control  
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：215/79  |  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  
A real-time EMG pattern recognition method for virtual myoelectric hand control 期刊论文
NEUROCOMPUTING, 2014, 卷号: 136, 期号: 1, 页码: 345-355
作者:  Xing, Kexin;  Yang, Peipei;  Huang, Jian;  Wang, Yongji;  Zhu, Quanmin
浏览  |  Adobe PDF(1882Kb)  |  收藏  |  浏览/下载：470/182  |  提交时间：2015/09/18
Emg  Real-time Pattern Recognition  Wavelet Packet  Non-parametric Weighted Feature Extraction  Svm  
Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2014, 卷号: 11, 期号: 3, 页码: 706-714
作者:  Li, Hongliang;  Liu, Derong;  Wang, Ding
Adobe PDF(1753Kb)  |  收藏  |  浏览/下载：277/100  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Reinforcement Learning  Policy Iteration  Zero-sum Games  
基于强化学习的非线性系统自适应优化控制研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  杨雄
Adobe PDF(2445Kb)  |  收藏  |  浏览/下载：1109/0  |  提交时间：2015/09/02
非线性系统  强化学习  神经网络  最优控制  智能控制  Nonlinear System  Reinforcement Learning  Neural Network  Optimal Control  Intelligent Control  
L2 disturbance attenuation for highly dissipative nonlinear spatially distributed processes via HJI approach 期刊论文
Journal of Process Control, 2014, 卷号: 24, 期号: 5, 页码: 550-567
作者:  Wu, Huai-Ning;  Luo, Biao
浏览  |  Adobe PDF(1945Kb)  |  收藏  |  浏览/下载：234/74  |  提交时间：2016/04/08
Highly Dissipative Partial Differential Equations (Pdes)  
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：614/256  |  提交时间：2015/08/12
Adaptive Control  Input Constraints  Neural Networks  Optimal Control  Reinforcement Learning  
Increasing the Discriminatory Power of DEA Using Shannon's Entropy 期刊论文
ENTROPY, 2014, 卷号: 16, 期号: 3, 页码: 1571-1585
作者:  Xie, Qiwei;  Dai, Qianzhi;  Li, Yongjun;  Jiang, An;  Yongjun Li
浏览  |  Adobe PDF(150Kb)  |  收藏  |  浏览/下载：311/60  |  提交时间：2015/08/12
Data Envelopment Analysis (Dea)  Discrimination Improvement  Shannon's Entropy  
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 3, 页码: 621-634
作者:  Liu, Derong;  Wei, Qinglai
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载：200/81  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Discrete-time Policy Iteration  Neural Networks  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning