Journal
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 52, Issue 8, Pages 4950-4959Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2021.3106228
Keywords
Observers; Estimation; Mathematical model; Convergence; Switches; Real-time systems; Matrix decomposition; Cyber-physical system (CPS); cyber-security; finite-time state estimation; sensor attack; unknown input
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This article proposes an efficient method for finite-time secure dynamic state estimation in cyber-physical systems, which is achieved by utilizing local finite-time state estimators and an effective detection algorithm to estimate and localize the states of CPS under unknown inputs and cyber-attacks.
In this article, an efficient method for finite-time secure dynamic state estimation in cyber-physical systems (CPSs) subjected to unknown inputs and cyber-attacks is proposed. The proposed approach is based on a set of local finite-time state estimators operating over the subsets of sensory nodes, which are designed to estimate the states of the CPS subjected to unknown inputs. When cyber-attacks compromise some sensory nodes, the estimation results of the local finite-time estimators which use the measurements of the attacked sensors can be corrupted. An efficient detection algorithm is thus proposed to identify the valid local estimators that are completely devoid of the attacked sensory nodes. The information of the valid local estimators is then used to achieve secure state estimation and localization of the launched cyber-attack. The necessary and sufficient conditions for the feasibility and finite-time convergence of the proposed estimation mechanism are analytically derived and proven. The effectiveness of the proposed method is demonstrated by testing it on a dc electric motor. Likewise, some online software-in-the-loop tests are conducted to demonstrate the real-time feasibility of the proposed algorithm.
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