Secure finite-time filtering for switched fuzzy systems with scaling attacks and stochastic sensor faults
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11071_2025_11042_ReferencePDF.pdf
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Author(s)
Sathishkumar, Murugesan
Joby, Maya
Ma, Yong-Ki
Anthoni, Selvaraj M.
Santra, Srimanta
Date Issued
March 10, 2025
Journal
Nonlinear Dynamics
Publisher
Springer Netherlands
Citation
Sathishkumar, M., Joby, M., Ma, YK. et al. Secure finite-time filtering for switched fuzzy systems with scaling attacks and stochastic sensor faults. Nonlinear Dyn 113, 13485–13506 (2025).
Version
Author's final manuscript
Abstract
In this study, we introduce a design for robust secure finite-time mixed H ∞ and passivity filter for discrete-time switched fuzzy systems. This design effectively combats both stochastic scaling attacks and sensor failure. To be specific, the sensor signals are represented by stochastic variables with different failure rates. Also, a comprehensive model is presented to characterize the scaling attacks and it is described by the Bernoulli distributed random variable. By designing a suitable Lyapunov functional candidate and leveraging the principles of finite-time theory, we have formulated a new collection of sufficient conditions. These conditions, expressed as linear matrix inequalities, ensure that the augmented fuzzy system maintains robust stochastic finite-time boundedness, along with a predetermined mixed H ∞ and passivity performance index. Ultimately, two numerical demonstrations are provided, incorporating real-world applications from the continuous-time single-link robot arm model and the tunnel diode circuit systems, to highlight the practicality of the proposed secure filter design.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1007/s11071-025-11042-1
