Interval estimation for descriptor Persidskii systems under cyber attacks

This paper addresses the issue of interval estimation for descriptor Persidskii systems subject to stealthy attacks. For the addressed issue, the interval observer is employed to estimate both the interval of stealthy deception attacks and system states. Under the positive system theory and the coordinate transformation, the non-negativity conditions of the error systems are provided. Then, a novel Lyapunov function is selected to derive the sufficient conditions that guarantee the ultimately uniform boundedness of the error systems. Eventually, the interval observer is applied to a simulation example to verify the validity.

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Publication Details

Journal
Journal of Vibration and Control
Published
2025-12-30
DOI
https://doi.org/10.1177/10775463251411391
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
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article

Interval estimation for descriptor Persidskii systems under cyber attacks

Can Zhang, Yueyuan Zhang, Junchao Zhang, Jun Huang
Journal of Vibration and Control
Smart Grid Security and Resilience
article

Interval estimation for descriptor Persidskii systems under cyber attacks

Can Zhang, Yueyuan Zhang, Junchao Zhang, Jun Huang
article en

Abstract

This paper addresses the issue of interval estimation for descriptor Persidskii systems subject to stealthy attacks. For the addressed issue, the interval observer is employed to estimate both the interval of stealthy deception attacks and system states. Under the positive system theory and the coordinate transformation, the non-negativity conditions of the error systems are provided. Then, a novel Lyapunov function is selected to derive the sufficient conditions that guarantee the ultimately uniform boundedness of the error systems. Eventually, the interval observer is applied to a simulation example to verify the validity.

Journal of Vibration and Control
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 36%
Smart Grid Security and Resilience
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