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Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems
- Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems
- Kim, Junsoo; Lee, Chanhwa; Shim, Hyungbo; Eun, Yongsoon; Seo, Jin H.
- DGIST Authors
- Eun, Yongsoon
- Issue Date
- 55th IEEE Conference on Decision and Control, CDC 2016, 1297-1302
- Article Type
- Conference Paper
- This paper presents an attack-resilient estimation scheme for uniformly observable nonlinear systems having redundant sensors when a subset of sensors is corrupted by adversaries. We first design an individual high-gain observer from each measurement output so that partial information of system state is obtained. Then, a nonlinear error correcting problem is formulated by collecting all the information from each partial observers and it can be solved by exploiting redundancy. For most of the time, a computationally efficient monitoring system is running and it detects every influential attacks. A simple switching logic explores another combination of output measurement to find a correct candidate only when a residual signal exceeds its threshold. © 2016 IEEE.
- Institute of Electrical and Electronics Engineers Inc.
- Related Researcher
Eun, Yong Soon
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)2. Conference Papers
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