Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/135144
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Type: Journal article
Title: Sparse false injection attacks reconstruction via descriptor sliding mode observers
Author: Ma, R.
Shi, P.
Wu, L.
Citation: IEEE Transactions on Automatic Control, 2020; 66(11):5369-5376
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Issue Date: 2020
ISSN: 0018-9286
1558-2523
Statement of
Responsibility: 
Renjie Ma, Member, IEEE, Peng Shi, Fellow, IEEE, and Ligang Wu, Fellow, IEEE
Abstract: Cyber-physical systems (CPSs), acting as the backbone of Industrial 4.0, may suffer from false injection attacks launched by adversary for degrading system performances. In this article, we concentrate on investigating secure reconstruction of CPSs. First, the combinational attack mode is potentially identified by means of adaptive counteraction searching. Next, the sparse injection attacks are effectively reconstructed while ensuring the correctness of state estimation in the light of full-order and reduced-order switched descriptor sliding mode observers, respectively. Moreover, two numerical examples are given to verify the applicability of our theoretical derivation.
Keywords: Cyber-physical systems (CPSs)
descriptor switched observers
sparse attack and state estimations
switched systems
Rights: © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
DOI: 10.1109/TAC.2020.3043311
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Published version: http://dx.doi.org/10.1109/tac.2020.3043311
Appears in Collections:Electrical and Electronic Engineering publications

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