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Active event-driven reliable defense control for interconnected nonlinear systems under actuator faults and denial-of-service attacks

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Abstract

This study investigates the reliable control design for a class of interconnected nonlinear systems subjected to actuator faults, disturbances, and denial-of-service (DoS) attacks. DoS attacks are carried out in both sensor and controller channels. An integrated event-observer-based security sliding mode fault-tolerant control approach is presented to defend against DoS attacks and compensate for faults and disturbances. To be more specific, the fuzzy logic system (FLS) theory is used to approximate the unknown nonlinear component first. Using the output measurement and sensor channel triggered output information, an FLS aided nonlinear estimator is put forward, in which the faults and disturbances are reconstructed. Then, to achieve the trajectory tracking purpose in the presence of DoS attacks, actuator faults, and disturbances, an adaptive sliding mode manifold is established, based on which an event-driven mechanism is established and a reliable controller is designed. In the controller scheme, the fault compensation and disturbance rejection mechanisms are also included synchronously. The tracking ability is analyzed using the Lyapunov method and the FLS theory, followed by applications to an interconnected power network system and an interconnected inverted pendulum system to demonstrate the applicability of the proposed method.

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Acknowledgements

This work was supported by Scientific and Technical Programs of Sichuan Province of China (Grant No. 2021YJ0092) and National Key Research and Development of China (Grant No. 2018YFB1307401).

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Authors and Affiliations

  1. College of Electrical Engineering, Sichuan University, Chengdu, 610065, China

    Bin Guo, Songyi Dian & Tao Zhao

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  1. Bin Guo
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  2. Songyi Dian
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  3. Tao Zhao
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Correspondence to Songyi Dian.

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Guo, B., Dian, S. & Zhao, T. Active event-driven reliable defense control for interconnected nonlinear systems under actuator faults and denial-of-service attacks. Sci. China Inf. Sci. 65, 162205 (2022). https://doi.org/10.1007/s11432-021-3397-2

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  • DOI: https://doi.org/10.1007/s11432-021-3397-2

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