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Distributed Event-Triggered \(H_{\infty }\) Filtering for Semi-Markov Jump Systems with Quantization and Cyber-Attacks

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Abstract

The problem of distributed event-triggered \(H_{\infty }\) filtering for semi-Markov jump systems is investigated in this paper. The system measurements are collected through a sensor network subject to quantization and random cyber-attacks. Taking the influence of event-triggered scheme, quantization, and cyber-attacks into account, a distributed event-triggered filtering error system is established. A distributed \(H_{\infty }\) filter design scheme is outlined by explicitly characterizing the filter gains through some matrix inequalities. Finally, a numerical example is given to illustrate the effectiveness of the designed distributed event-triggered \(H_{\infty }\) filters.

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Data Availability

The data used in this paper is transparent. All data, models, or code generated or used during the study are available from the corresponding author by request.

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Acknowledgements

This work was partially supported by the Zhejiang Provincial Natural Science Foundation of China (LZ17F030002).

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Authors and Affiliations

  1. Fair Friend Institute of Intelligent Manufacturing, Hangzhou Vocational and Technical College, Xueyuan Street, Hangzhou, 310018, People’s Republic of China

    Huijiao Wang

  2. Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, 310018, People’s Republic of China

    Huijiao Wang & Anke Xue

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  1. Huijiao Wang
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  2. Anke Xue
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Correspondence to Huijiao Wang.

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Wang, H., Xue, A. Distributed Event-Triggered \(H_{\infty }\) Filtering for Semi-Markov Jump Systems with Quantization and Cyber-Attacks. Circuits Syst Signal Process 41, 4775–4802 (2022). https://doi.org/10.1007/s00034-022-02005-7

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