Secure state estimation for cyber-physical systems with unknown input sliding mode observer

作     者：Panpan Zhang Yuwei Ren Yixian Fang Ang Liu Panpan Zhang;Yuwei Ren;Yixian Fang;Ang Liu

作者机构：School of Information Science and EngineeringShandong Normal UniversityJinan250358ShandongChina School of Information EngineeringShandong Management UniversityJinan250357ShandongChina 

出 版 物：《Control Theory and Technology》 (控制理论与技术（英文版）)

年 卷 期：2024年第22卷第2期

页      面：244-253页

核心收录：

学科分类：0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Science Foundation of China(Nos.62271293,61903238) the Natural Science Foundation of Shandong Province,China(No.ZR2021MF035) the Social Science Planning Project of Shandong Province,China(No.22CYYJ13) 

主　　题：Sparse attacks Cyber-physical systems Unknown input sliding mode Secure state estimation Adaptive switching mechanism 

摘      要：In recent years, cyber attacks have posed great challenges to the development of cyber-physical systems. It is of great significance to study secure state estimation methods to ensure the safe and stable operation of the system. This paper proposes a secure state estimation for multi-input and multi-output continuous-time linear cyber-physical systems with sparse actuator and sensor attacks. First, for sparse sensor attacks, we propose an adaptive switching mechanism to mitigate the impact of sparse sensor attacks by filtering out their attack modes. Second, an unknown input sliding mode observer is designed to not only observe the system states, sensor attack signals, and measurement noise present in the system but also counteract the effects of sparse actuator attacks through an unknown input matrix. Finally, for the design of an unknown input sliding mode state observer, the feasibility of the observing system is demonstrated by means of Lyapunov functions. Additionally, simulation experiments are conducted to show the effectiveness of this method.