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Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors

Title
Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors
Authors
Kim, JunsooLee, ChanhwaShim, HyungboEun, YongsoonSeo, Jin H.
DGIST Authors
Eun, Yongsoon
Issue Date
2019-03
Citation
IEEE Transactions on Automatic Control, 64(3), 1162-1169
Type
Article
Article Type
Article
Author Keyword
Linear systems; Noise measurement; Nonlinear systems; Observability; Observers; Redundancy
Keyword
NETWORKED CONTROL-SYSTEMS; SECURE
ISSN
0018-9286
Abstract
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
URI
http://hdl.handle.net/20.500.11750/6588
DOI
10.1109/TAC.2018.2840819
Publisher
Institute of Electrical and Electronics Engineers
Related Researcher
  • Author Eun, Yongsoon DSC Lab(Dynamic Systems and Control Laboratory)
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
Files:
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Collection:
Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)1. Journal Articles


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