Design and implementation of data-driven predictive cloud control system  

作　　者：GAO Runze XIA Yuanqing DAI Li SUN Zhongqi ZHAN Yufeng 

机构地区：[1]School of Automation,Beijing Institute of Technology,Beijing 100081,China

出　　处：《Journal of Systems Engineering and Electronics》2022年第6期1258-1268,共11页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61836001,62122014,62173036,62102022)。

摘　　要：The rapid increase of the scale and the complexity of the controlled plants bring new challenges such as computing power and storage for conventional control systems.Cloud computing is concerned as a powerful solution to handle complex large-scale control missions by using sufficient computing resources.However,the computing ability enables more complex devices and more data to be involved and most of the data have not been fully utilized.Meanwhile,it is even impossible to obtain an accurate model of each device in the complex control systems for the model-based control algorithms.Therefore,motivated by the above reasons,we propose a data-driven predictive cloud control system.To achieve the proposed system,a practical data-driven predictive cloud control testbed is established and together a cloud-edge communication scheme is developed.Finally,the simulations and experiments demonstrate the effectiveness of the proposed system.

关 键 词：cloud control system data-driven predictive control networked control system cloud computing 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术] TP273[自动化与计算机技术—计算机科学与技术]