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

• 成果类型: Article
• 署名作者: Liu, Hao; Li, Yuzhe; Han, Qing-Long; Raissi, Tarek; Chai, Tianyou
• 署名单位: Hubei University of Science & Technology; Northeastern University - China; Swinburne University of Technology; heSam Universite; Conservatoire National Arts & Metiers (CNAM); Institut Polytechnique de Paris; ENSTA Paris
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3275965
• 发表日期: 2023
• 页码: 7312-7325
• 关键词: Cyber-physical systems (CPSs); false-data-injection (FDI) attacks; set-membership estimation; unknown input observer (UIO)

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.