Secure Estimation, Attack Isolation, and Reconstruction Based on Zonotopic Unknown Input Observer

被引:3
|
作者
Liu, Hao [1 ]
Li, Yuzhe [2 ]
Han, Qing-Long [3 ]
Raissi, Tarek [4 ]
Chai, Tianyou [2 ]
机构
[1] Hubei Univ Sci & Technol, Sch Automat, Xianning 437100, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Peoples R China
[3] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Melbourne, Vic 3122, Australia
[4] Conservatoire Natl Arts & Metiers CNAM, Cedric Lab, F-75141 Paris, France
关键词
Cyber-physical systems (CPSs); false-data-injection (FDI) attacks; set-membership estimation; unknown input observer (UIO); CYBER-PHYSICAL SYSTEMS; NETWORKED CONTROL-SYSTEMS; DATA INJECTION ATTACKS; ROBUST FAULT-DETECTION; STATE ESTIMATION; LINEAR-SYSTEMS; SENSOR ATTACKS;
D O I
10.1109/TAC.2023.3275965
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, the issues of secure estimation, attack reconstruction, and isolation are addressed for cyber-physical systems in the presence of malicious attacks. It is assumed that disturbances and noises are unknown-but-bounded. Based on different rank constraints, both zonotopic completely unknown input observer and zonotopic partially unknown input observer are designed to estimate system states. Then, malicious attacks are reconstructed and isolated based on the proposed zonotopic observers. By utilizing switching technique, the corresponding feedback controllers are designed, which can guarantee that the closed-loop system is stable. Finally, numerical simulations are provided to illustrate the validity of the presented approach.
引用
收藏
页码:7312 / 7325
页数:14
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