Cited 0 time in webofscience Cited 0 time in scopus

Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems

Title
Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems
Authors
Kim, JunsooLee, ChanhwaShim, HyungboEun, YongsoonSeo, Jin H.
DGIST Authors
Eun, Yongsoon
Issue Date
2016
Citation
55th IEEE Conference on Decision and Control, CDC 2016, 1297-1302
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
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.
URI
http://hdl.handle.net/20.500.11750/5450
DOI
10.1109/CDC.2016.7798445
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:
There are no files associated with this item.
Collection:
Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)2. Conference Papers


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE