Passivity-Based Robust Control Against Quantified False Data Injection Attacks in Cyber-Physical Systems  

作　　者：Yue Zhao Ze Chen Chunjie Zhou Yu-Chu Tian Yuanqing Qin 

机构地区：[1]Key Laboratory of Ministry of Education for Image Processing and Intelligent Control,School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China [2]School of Computer Science,Queensland University of Technology,Brisbane QLD 4001,Australia

出　　处：《IEEE/CAA Journal of Automatica Sinica》2021年第8期1440-1450,共11页自动化学报（英文版）

基　　金：supported in part by the National Science Foundation of China(61873103,61433006)。

摘　　要：Secure control against cyber attacks becomes increasingly significant in cyber-physical systems(CPSs).False data injection attacks are a class of cyber attacks that aim to compromise CPS functions by injecting false data such as sensor measurements and control signals.For quantified false data injection attacks,this paper establishes an effective defense framework from the energy conversion perspective.Then,we design an energy controller to dynamically adjust the system energy changes caused by unknown attacks.The designed energy controller stabilizes the attacked CPSs and ensures the dynamic performance of the system by adjusting the amount of damping injection.Moreover,with the disturbance attenuation technique,the burden of control system design is simplified because there is no need to design an attack observer.In addition,this secure control method is simple to implement because it avoids complicated mathematical operations.The effectiveness of our control method is demonstrated through an industrial CPS that controls a permanent magnet synchronous motor.

关 键 词：Cyber-physical systems energy controller energy conversion false data injection attacks L2 disturbance attenuation technology 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP393.08[自动化与计算机技术—控制科学与工程]