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Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
作者:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(3253Kb)  |  收藏  |  浏览/下载：406/125  |  提交时间：2017/02/23
Recurrent Neural Nets  Neurocontrollers  Learning (Artificial Intelligence)  Office Environment  Optimal Control  Solar Power  Energy Consumption  Time Series  Secondary Cells  Energy Management Systems  Function Approximation  Echo State Network-based Q-learning Method  Optimal Battery Control  Renewable Energy  Optimal Energy Management  Solar Energy  Energy Consumption  Energy Demand  Time Series  Real-time Electricity Rate  Periodic Functions  Q-function  Optimal Charging Strategy  Optimal Discharging Strategy  Optimal Idle Strategy  Numerical Analysis  
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：554/271  |  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：472/188  |  提交时间：2016/10/20
Adaptive Dynamic Programming  Data-based Control  Integral Policy Iteration  Matched Uncertainties  Neural Networks  Robust Optimal Control