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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003659naa a2200397 4500
001oai:DiVA.org:kth-343688
003SwePub
008240222s2023 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3436882 URI
024a https://doi.org/10.1016/j.ifacol.2023.10.15802 DOI
040 a (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a kon2 swepub-publicationtype
100a Li, Zishuou Department of Automation, Tsinghua University, Beijing, 100084, China4 aut
2451 0a Secure State Estimation against Sparse Attacks on a Time-varying Set of Sensors
264 1b Elsevier BV,c 2023
338 a print2 rdacarrier
500 a QC 20240223Part of ISBN 9781713872344
520 a This paper studies the problem of secure state estimation of a linear time-invariant (LTI) system with bounded noise in the presence of sparse attacks on an unknown, time-varying set of sensors. At each time, the attacker has the freedom to choose an arbitrary set of no more than p sensors and manipulate their measurements without restraint. To this end, we propose a secure state estimation scheme and guarantee a bounded estimation error irrespective of the attack signals subject to 2p-sparse observability and a mild, technical assumption that the system matrix has no degenerate eigenvalues. The proposed scheme comprises a design of decentralized observers for each sensor based on the local observable subspace decomposition. At each time step, the local estimates of sensors are fused by a median operator to obtain a secure estimation, which is then followed by a local detection-and-resetting process of the decentralized observers. The estimation error is shown to be upper-bounded by a constant which is determined only by the system parameters and noise magnitudes. Moreover, we design the detector threshold to ensure that the benign sensors never trigger the detector. The efficacy of the proposed algorithm is demonstrated by its application on a benchmark example of IEEE 14-bus system. We show that our proposed scheme can effectively tolerate sparse attacks on an unknown set of sensors, ensuring a bounded estimation error and effectively detecting and resetting the attacked sensors.
650 7a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Reglerteknik0 (SwePub)202022 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Control Engineering0 (SwePub)202022 hsv//eng
653 a Design of fault tolerant/reliable systems
653 a Estimation
653 a Estimation and filtering
653 a fault detection
700a Niazi, Muhammad Umar B.u KTH,Reglerteknik,Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA, 77 Massachusetts Avenue,Digital Futures4 aut0 (Swepub:kth)u1hzqtz7
700a Liu, Changxinu KTH,Reglerteknik,Digital Futures4 aut0 (Swepub:kth)u1xs2gr3
700a Mo, Yilinu Department of Automation, Tsinghua University, Beijing, 100084, China4 aut
700a Johansson, Karl H.,d 1967-u KTH,Reglerteknik,Digital Futures4 aut0 (Swepub:kth)u1h0d9k2
710a Department of Automation, Tsinghua University, Beijing, 100084, Chinab Reglerteknik4 org
773t IFAC-PapersOnLined : Elsevier BVg , s. 270-275q <270-275
856u https://doi.org/10.1016/j.ifacol.2023.10.1580y Fulltext
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-343688
8564 8u https://doi.org/10.1016/j.ifacol.2023.10.1580

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