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Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Convergence Analysis 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 6, 页码: 875-891
作者:  Wei, Qinglai;  Lewis, Frank L.;  Liu, Derong;  Song, Ruizhuo;  Lin, Hanquan
收藏  |  浏览/下载：265/0  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Local Iteration  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  
Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 12, 页码: 9527-9537
作者:  Wei, Qinglai;  Lewis, Frank L.;  Shi, Guang;  Song, Ruizhuo
收藏  |  浏览/下载：226/0  |  提交时间：2018/03/03
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Home Energy Systems  Optimal Control  Smart Grid  
Optimal control for discrete-time systems with actuator saturation 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 卷号: 38, 期号: 6, 页码: 1071-1080
作者:  Lin, Qiao;  Wei, Qinglai;  Zhao, Bo
浏览  |  Adobe PDF(348Kb)  |  收藏  |  浏览/下载：511/253  |  提交时间：2017/05/04
Approximate Dynamic Programming  Discrete Time  Generalized Policy Iteration  Optimal Control  Saturating Actuators  
Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 11, 页码: 2490-2502
作者:  Wei, Qinglai;  Liu, Derong;  Lin, Qiao
收藏  |  浏览/下载：264/0  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Local Iteration  Neural Networks  Neurodynamic Programming  Nonlinear Systems  Optimal Control  
Discrete-Time Optimal Control via Local Policy Iteration Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3367-3379
作者:  Wei, Qinglai;  Liu, Derong;  Lin, Qiao;  Song, Ruizhuo
收藏  |  浏览/下载：223/0  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Local Policy Iteration  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  
Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 7, 页码: 5468-5478
作者:  Wei, Qinglai;  Shi, Guang;  Song, Ruizhuo;  Liu, Yu
浏览  |  Adobe PDF(3085Kb)  |  收藏  |  浏览/下载：411/148  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Energy Storage  Energy Storage System  Optimal Control  Solar Renewable Energy  
Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 5, 页码: 4110-4120
作者:  Wei, Qinglai;  Liu, Derong;  Lewis, Frank L.;  Liu, Yu;  Zhang, Jie
浏览  |  Adobe PDF(4866Kb)  |  收藏  |  浏览/下载：535/242  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Mixed Iteration  Optimal Control  Policy Iteration  Smart Grid  Value Iteration  
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：397/124  |  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  
Energy consumption prediction of office buildings based on echo state networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 216, 期号: n/a, 页码: 478-488
作者:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(1405Kb)  |  收藏  |  浏览/下载：422/181  |  提交时间：2017/02/14
Energy Consumption  Time-series Prediction  Office Buildings  Echo State Networks  Reservoir Topologies