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Robust adaptive control for a class of networked nonlinear systems under denial-of-service attacks

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Abstract

This paper studies the controller design of sampled data robust adaptive control (RAC) with control update strategy for a class of networked uncertain nonlinear systems under random denial-of-service (DoS) attacks with frequency and duration constraints. Two switching-type robust adaptive controllers with corresponding update strategies based on certain triggering conditions are proposed to stabilize the uncertain nonlinear system with known and unknown control coefficient, respectively. The uniform ultimate boundedness (UUB) of the solutions of the closed-loop systems under DoS attacks is guaranteed. Finally, the effectiveness of the proposed control law is verified by an example with numerical simulation.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This work was supported in part by Fundamental Research Funds for the Central Universities (No. 2022JBZY001), National Natural Science Foundation of China (No. 61673050) and in part by Research on the Scheme of Advanced Rail Transit Comprehensive Test Research Base (No. TZKY-21-16).

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Lang Zou

  2. Institute of Advanced Control Systems, Beijing Jiaotong University, Beijing, 100044, China

    Xiangbin Liu

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  1. Lang Zou
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  2. Xiangbin Liu
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Correspondence to Xiangbin Liu.

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Zou, L., Liu, X. Robust adaptive control for a class of networked nonlinear systems under denial-of-service attacks. Nonlinear Dyn 111, 1385–1398 (2023). https://doi.org/10.1007/s11071-022-07901-w

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