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An Adaptive Event-Triggered Filtering for Fuzzy Markov Switching Systems with Quantization and Deception Attacks: A Non-stationary Approach

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Abstract

This paper examines the event-triggered filtering problem related to discrete-time nonlinear systems that are described by interval type-2 (IT2) fuzzy models. The filter being studied is prone to a non-stationary Markovian process when both quantization output and deception attack are taken into account simultaneously. It is proposed to implement an asynchronous IT2 fuzzy filter characterized by two different piecewise-stationary Markov chains specifying the deception attacks and the modes of the system. A new event-triggering protocol (ETP) is investigated as a means of reducing unnecessary signal transmissions on the communication channel. Based on the linear matrix inequality analysis and using the information on upper and lower membership functions, it is demonstrated that stochastic sufficient conditions exist for the desired filter such that it exhibits mean square stability and achieves the prescribed mixed \(H_\infty \) and passivity performance index. Moreover, an optimization-based problem for computing filter gains is proposed. An experimental numerical illustration based on a truck-trailer system is used to validate the developed scheme.

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Acknowledgement

This research has been funded by the Scientific Research Deanship at University of Haöil - Saudi Arabia through project number RG-23005.

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Authors and Affiliations

  1. Electrical Department, College of Engineering University of Hail, Po. Box 2440, Hail, Kingdom of Saudi Arabia

    Mourad Kchaou, Obaid Alshammari & Rabeh Abassi

  2. Industrial Department, College of Engineering University of Hail, Po. Box 2440, Hail, Kingdom of Saudi Arabia

    Houssem Jerbi

  3. Department of Computer Engineering, College of Computer Science and Engineering University of Hail, Po. Box 2440, Hail, Kingdom of Saudi Arabia

    Sondess Ben Aoun

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  1. Mourad Kchaou
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Correspondence to Mourad Kchaou.

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Kchaou, M., Alshammari, O., Jerbi, H. et al. An Adaptive Event-Triggered Filtering for Fuzzy Markov Switching Systems with Quantization and Deception Attacks: A Non-stationary Approach. Int. J. Fuzzy Syst. 26, 1879–1896 (2024). https://doi.org/10.1007/s40815-024-01711-5

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