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

• Published in: Control theory and technology Vol. 22; no. 2; pp. 244 - 253
• Main Authors: Zhang, Panpan, Ren, Yuwei, Fang, Yixian, Liu, Ang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024; Springer Nature B.V
• Subjects: Actuators; Complexity; Computational Intelligence; Control; Control and Systems Theory; Cyber-physical systems; Cybersecurity; Engineering; Liapunov functions; Mechatronics; Noise measurement; Optimization; Research Article; Robotics; Sensors; State estimation; State observers; Systems Theory; Cyber-physical systems; Secure state estimation; Adaptive switching mechanism; Sparse attacks; Unknown input sliding mode
• ISSN: 2095-6983; 2198-0942
• DOI: 10.1007/s11768-024-00204-y

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.