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Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 1, 页码: 69-77
作者:  Chu, Hongjun;  Chen, Jianliang;  Wei, Qinglai;  Zhang, Weidong
收藏  |  浏览/下载：304/0  |  提交时间：2019/07/12
reduced order systems  observers  multi-agent systems  linear systems  multi-robot systems  actuators  robust control  state feedback  feedback  control system synthesis  topology  robust global consensus tracking  input saturation  agent dynamics  general linear systems  actuator saturation  input additive uncertainties  state feedback protocol  disturbance rejection  reduced-order observer-based protocol design  linear multi-agent systems  scheduled low-and-high gain feedback  network topology  
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：419/127  |  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