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Secure and robust state estimation under sensor attacks, measurement noises, and process disturbances: Observer-based combinatorial approach

Title
Secure and robust state estimation under sensor attacks, measurement noises, and process disturbances: Observer-based combinatorial approach
Authors
Lee, ChanhwaShim, HyungboEun, Yongsoon
DGIST Authors
Eun, Yongsoon
Issue Date
2015
Citation
European Control Conference, ECC 2015, 1872-1877
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
This paper presents a secure and robust state estimation scheme for continuous-time linear dynamical systems. The method is secure in that it correctly estimates the states under sensor attacks by exploiting sensing redundancy, and it is robust in that it guarantees a bounded estimation error despite measurement noises and process disturbances. In this method, an individual Luenberger observer (of possibly smaller size) is designed from each sensor. Then, the state estimates from each of the observers are combined through a scheme motivated by error correction techniques, which results in estimation resiliency against sensor attacks under a mild condition on the system observability. Moreover, in the state estimates combining stage, our method reduces the search space of a minimization problem to a finite set, which substantially reduces the required computational effort. © 2015 EUCA.
URI
http://hdl.handle.net/20.500.11750/5470
DOI
10.1109/ECC.2015.7330811
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Eun, Yong Soon 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)2. Conference Papers


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