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Event-Triggered \(H_{\infty }\) Filtering for A Class of Nonlinear Systems Under DoS Attacks

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Abstract

This paper investigates event-triggered \(H_{\infty }\) filtering for a class of discrete-time nonlinear systems subject to denial-of-service (DoS) attacks. Since the communication network in the networked systems is vulnerable to malicious cyber-attacks, this paper models DoS attacks as a Bernoulli random variable, which results in stochastic filtering error system. Besides, we use adaptive event-triggered communication to ensure that the least amount of information is transmitted over the network. For the filtering error system under the effect of event-triggered communication and DoS attacks, we provide sufficient conditions on guaranteeing the stability and prescribed \(H_{\infty }\) performance, where the \(H_{\infty }\) filter and event-triggered parameters are co-designed using the linear matrix inequality approach. Finally, two illustrative examples are provided to demonstrate the effectiveness of the proposed method.

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Data Availability

The datasets used in this study are publicly available. The sources are mentioned in the reference section.

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Acknowledgements

This work is partially supported by the Hong Kong Research Grant Council under Grant 16203322 and Grant N_HKUST628/22, the National Science Foundation of China under Grant 62261160385, and the Fundamental Research Funds for the Central Universities, China under Grant 22120240010 and Grant 2023SMECP04.

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Authors and Affiliations

  1. School of Electrical Engineering, Nantong University, Nantong, 226019, China

    Weiguo Ma

  2. College of Electronic and Information Engineering, Tongji University, Shanghai, 201804, China

    Yuanqiang Zhou

  3. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Xin Lai

  4. Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China

    Furong Gao

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Ma, W., Zhou, Y., Lai, X. et al. Event-Triggered \(H_{\infty }\) Filtering for A Class of Nonlinear Systems Under DoS Attacks. Circuits Syst Signal Process 44, 24–43 (2025). https://doi.org/10.1007/s00034-024-02775-2

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