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| Secure state estimation for cyber-physical systems with unknown input sliding mode observer |
| PanpanZhang1,YuweiRen1,YixianFang2,AngLiu1 |
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| (1 School of Information Science and Engineering, Shandong Normal University, Jinan 250358, Shandong, China;2 School of Information Engineering, Shandong Management University, Jinan 250357, Shandong, China) |
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| 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. |
| 关键词: Sparse attacks · Cyber-physical systems · Unknown input sliding mode · Secure state estimation · Adaptive switching mechanism |
| DOI：https://doi.org/10.1007/s11768-024-00204-y |
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| 基金项目:This work was partially supported by the National Science Foundation of China (Nos. 62271293, 61903238), the Natural Science Foundation of Shandong Province, China (No. ZR2021MF035) and the Social Science Planning Project of Shandong Province, China (No. 22CYYJ13). |
|
| Secure state estimation for cyber-physical systems with unknown input sliding mode observer |
| Panpan Zhang1,Yuwei Ren1,Yixian Fang2,Ang Liu1 |
| (1 School of Information Science and Engineering, Shandong Normal University, Jinan 250358, Shandong, China;2 School of Information Engineering, Shandong Management University, Jinan 250357, Shandong, China) |
| Abstract: |
| 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. |
| Key words: Sparse attacks · Cyber-physical systems · Unknown input sliding mode · Secure state estimation · Adaptive switching mechanism |
