Command filtering event-triggered secure control for nonlinear cyber-physical systems under denial-of-service attacks and input saturation

Zhen Gao, Ning Zhao, Ning Xu, Ben Niu and Xudong Zhao

International Journal of Systems Science, 2024, vol. 55, issue 9, 1851-1867

Abstract: For nonlinear cyber-physical systems (CPSs) with input saturation and denial-of-service (DoS) attacks, an adaptive secure control strategy is investigated in this paper. To estimate the unmeasurable states, a novel switched neural network (NN) observer is designed, where two sub-observers can be freely switched from each other. Considering unnecessary packet transmissions, an improved event-triggered mechanism (ETM) is introduced to reduce the communication burden in the controller-to-actuator channel. In addition, in order to simultaneously solve the input saturation and unknown control direction problems, a Nussbaum-type function is introduced to the control design process. Finally, it is proven that all closed-loop signals are the semiglobal uniformly ultimately bounded, and simulation results demonstrate the effectiveness of the proposed secure control scheme.

Date: 2024
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DOI: 10.1080/00207721.2024.2322077

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