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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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