Privacy-preserving filtering,control and optimization for industrial cyber-physical systems  

作　　者：Derui DING Qing-Long HAN Xiaohua GE Xian-Ming ZHANG Jun WANG 

机构地区：[1]Department of Control Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China [2]School of Engineering,Swinburne University of Technology,Melbourne VIC 3122,Australia [3]Department of Computer Science,City University of Hong Kong,Hong Kong 999077,China

出　　处：《Science China(Information Sciences)》2025年第4期263-279,共17页中国科学(信息科学)(英文版)

基　　金：supported in part by National Natural Science Foundation of China(Grant No.62373251)。

摘　　要：Industrial cyber-physical systems closely integrate physical processes with cyberspace,enabling real-time exchange of various information about system dynamics,sensor outputs,and control decisions.The connection between cyberspace and physical processes results in the exposure of industrial production information to unprecedented security risks.It is imperative to develop suitable strategies to ensure cyber security while meeting basic performance requirements.From the perspective of control engineering,this review presents the most up-to-date results for privacy-preserving filtering,control,and optimization in industrial cyber-physical systems.Fashionable privacy-preserving strategies and mainstream evaluation metrics are first presented in a systematic manner for performance evaluation and engineering implementation.The discussion discloses the impact of typical filtering algorithms on filtering performance,specifically for privacy-preserving Kalman filtering.Then,the latest development of industrial control is systematically investigated from consensus control of multi-agent systems,platoon control of autonomous vehicles as well as hierarchical control of power systems.The focus thereafter is on the latest privacy-preserving optimization algorithms in the framework of consensus and their applications in distributed economic dispatch issues and energy management of networked power systems.In the end,several topics for potential future research are highlighted.

关 键 词：industrial cyber-physical systems privacy preservation distributed control distributed optimization power systems 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]