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Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors
- Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors
- Kim, Junsoo; Lee, Chanhwa; Shim, Hyungbo; Eun, Yongsoon; Seo, Jin H.
- DGIST Authors
- Eun, Yongsoon
- Issue Date
- IEEE Transactions on Automatic Control, 64(3), 1162-1169
- Article Type
- Author Keyword
- Linear systems; Noise measurement; Nonlinear systems; Observability; Observers; Redundancy
- NETWORKED CONTROL-SYSTEMS; SECURE
- This paper presents a detection algorithm for sensor attacks and a resilient state estimation scheme for a class of uniformly observable nonlinear systems. An adversary is supposed to corrupt a subset of sensors with the possibly unbounded signals, while the system has sensor redundancy. We design an individual high-gain observer for each measurement output so that only the observable portion of the system state is obtained. Then, a nonlinear error correcting problem is solved by collecting all the information from those partial observers and exploiting redundancy. A computationally efficient, on-line monitoring scheme is presented for attack detection. Based on the attack detection scheme, an algorithm for resilient state estimation is provided. The simulation results demonstrate the effectiveness of the proposed algorithm. IEEE
- Institute of Electrical and Electronics Engineers
- Related Researcher
DSC Lab(Dynamic Systems and Control Laboratory)
Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
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- Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)1. Journal Articles
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