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Distributed filtering for nonlinear systems under false data injection attack
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DOI：10.1016/j.automatica.2022.110521.png)
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Abstract
En 中文
This paper investigates a distributed secure estimation problem for a nonlinear stochastic system subject to false data injection attack. The target plant is disturbed by unknown input with non-prior information distribution. Considering the limited communication resources and potential malicious attack in wireless sensor network, a novel protector is designed for each sensor to resist the hostile attack, in which a dynamic decision rule is developed to further reduce the data receiving frequency, thus saving computing resources. Sufficient conditions are established to ensure that the estimation error is exponentially bounded in mean square. Furthermore, the critical attack probability when the steady-state estimation error exceeds the preset value is discussed in two cases. Finally, effectiveness of the proposed technique is demonstrated by a numerical example. (C) 2022 Elsevier Ltd. All rights reserved.
Keywords:
Distributed state estimation
Nonlinear system
False data injection attack
Wireless sensor network
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IF:
5.9
Papers:
1.2W
Citations:
5.2W
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