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Connectivity preserved nonlinear time-delayed multiagent systems using neural networks and event-based mechanism 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 29, 期号: 9, 页码: 361-369
作者:  Ma, Hongwen;  Wang, Ding;  Ding Wang
浏览  |  Adobe PDF(1038Kb)  |  收藏  |  浏览/下载：400/105  |  提交时间：2017/05/03
Connectivity Preservation  Event-based Control  Multiagent Systems  Neural Networks  
Distributed algorithm for dissensus of a class of networked multiagent systems using output information 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 1, 页码: 273-282
作者:  Ma, Hongwen;  Liu, Derong;  Wang, Ding;  Yang, Xiong;  Li, Hongliang;  Derong Liu
浏览  |  Adobe PDF(925Kb)  |  收藏  |  浏览/下载：382/141  |  提交时间：2017/05/03
Distributed Control  Dissensus  Multiagent Systems  Output Feedback  
Adaptive Critic Nonlinear Robust Control: A Survey 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3429-3451
作者:  Wang, Ding;  He, Haibo;  Liu, Derong
浏览  |  Adobe PDF(1954Kb)  |  收藏  |  浏览/下载：402/142  |  提交时间：2018/03/03
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Boundedness  Convergence  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Stability  
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs 期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: *, 页码: 377-386
作者:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
浏览  |  Adobe PDF(1508Kb)  |  收藏  |  浏览/下载：591/262  |  提交时间：2017/05/04
Adaptive Dynamic Programming  Optimal Control  Neural Network  Fully Cooperative Games  Data-driven  Constrained Input  
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：538/242  |  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
Adobe PDF(3253Kb)  |  收藏  |  浏览/下载：399/124  |  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