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Comprehensive comparison of online ADP algorithms for continuous-time optimal control 期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2018, 卷号: 49, 期号: 4, 页码: 531-547
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(766Kb)  |  收藏  |  浏览/下载：406/180  |  提交时间：2017/09/13
Adaptive Dynamic Programming  Policy Iteration  Integral Reinforcement Learning  Experience Replay  Off-policy  
Policy Iteration for H infinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 2, 页码: 500-509
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Yang, Xiong;  Zhang, Qichao
Adobe PDF(892Kb)  |  收藏  |  浏览/下载：287/35  |  提交时间：2018/10/10
Adaptive Dynamic Programming (Adp)  h Infinity Optimal Control  Policy Iteration (Pi)  Polynomial Nonlinear Systems  Sum Of Squares (Sos)  
Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties 期刊论文
NEUROCOMPUTING, 2017, 卷号: 245, 页码: 46-54
作者:  Mu, Chaoxu;  Wang, Ding
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：358/120  |  提交时间：2017/09/12
Adaptive Dynamic Programming (Adp)  Guaranteed Cost Control  Neural Networks  Uncertain Dynamics  Stability  
Error Bound Analysis of Q-Function for Discounted Optimal Control Problems With Policy Iteration 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1207-1216
作者:  Yan, Pengfei;  Wang, Ding;  Li, Hongliang;  Liu, Derong
Adobe PDF(625Kb)  |  收藏  |  浏览/下载：321/76  |  提交时间：2017/09/12
Adaptive Dynamic Programming (Adp)  Error Analysis  Nonlinear Systems  Policy Iteration  Q-function  
Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4935-4944
作者:  Wang, Ding;  He, Haibo;  Mu, Chaoxu;  Liu, Derong
Adobe PDF(728Kb)  |  收藏  |  浏览/下载：323/104  |  提交时间：2017/07/18
Adaptive/approximate Dynamic Programming  Adaptive Critic Control  Disturbance Attenuation  Intelligent Control  Neural Identification  Smart Microgrid  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：379/119  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
An efficient realization of deep learning for traffic data imputation 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 卷号: 72, 页码: 168-181
作者:  Duan, Yanjie;  Lv, Yisheng;  Liu, Yu-Liang;  Wang, Fei-Yue
Adobe PDF(824Kb)  |  收藏  |  浏览/下载：556/271  |  提交时间：2017/02/14
Traffic Data Imputation  Deep Learning  Missing Data  
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：473/188  |  提交时间：2016/10/20
Adaptive Dynamic Programming  Data-based Control  Integral Policy Iteration  Matched Uncertainties  Neural Networks  Robust Optimal Control  
A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2016, 卷号: 23, 期号: 10, 页码: 1409-1413
作者:  Nie, Xiangli;  Zhang, Bo;  Chen, Yunjin;  Qiao, Hong;  Nie, XL
浏览  |  Adobe PDF(391Kb)  |  收藏  |  浏览/下载：363/126  |  提交时间：2016/12/05
Nonconvex Optimization  Polarimetric Synthetic Aperture Radar (Polsar)  Variational Method  
A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 6, 页码: 2620-2634
作者:  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo;  Huang, Xiayuan
浏览  |  Adobe PDF(5355Kb)  |  收藏  |  浏览/下载：472/172  |  提交时间：2016/10/20
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Nonlocal Total Variation (Nltv)  Complex Wishart Distribution  Conjugate Function  Variational Model