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Event-based sliding mode control under denial-of-service attacks

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Abstract

This paper deals with the problem of estimator-based sliding mode control against denial-of-service (DoS) attacks and discrete events via a time-delay approach. A networked system is considered an uncertain dynamical system with matched and mismatched perturbations and exogenous disturbance in the network environment. A network-resource-aware event-triggering mechanism is designed with aperiodically releasing system measurements. Furthermore, to describe the DoS attack duration and inter-event time, a time-delay modeling approach considers the DOS attack duration and inter-event time as a “time delay” of the measurements between the sensor and controller over the network is proposed. Consequently, an interval-time-delay system with uncertainties is formulated. A state-observer-based sliding mode controller, by which the ideal sliding mode can be achieved, is proposed against the DoS attacks. The resulting sliding motion is proved to be robust and stable with an ℒ2 gain performance. Finally, the effectiveness and applicability of the present sliding mode control are validated in a simulated pendulum system.

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Acknowledgements

This work was supported in part by National Key R&D Program of China (Grant No. 2019YFB1312001), National Natural Science Foundation of China (Grant Nos. 62033005, 62103118, 62022030), China Postdoctoral Science Foundation (Grant Nos. 2021T140160, 2021M700037), and Natural Science Foundation of Heilongjiang Province (Grant No. ZD2021F001).

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Authors and Affiliations

  1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China

    Yingxin Tian, Xiang Li, Bo Dong, Yabin Gao & Ligang Wu

  2. School of Software, Harbin Institute of Technology, Harbin, 150001, China

    Yingxin Tian

Authors
  1. Yingxin Tian
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  2. Xiang Li
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  3. Bo Dong
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  4. Yabin Gao
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  5. Ligang Wu
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Correspondence to Yabin Gao.

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Tian, Y., Li, X., Dong, B. et al. Event-based sliding mode control under denial-of-service attacks. Sci. China Inf. Sci. 65, 162203 (2022). https://doi.org/10.1007/s11432-021-3375-5

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  • DOI: https://doi.org/10.1007/s11432-021-3375-5

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