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• W3177029449 endingPage "020503" @default.
• W3177029449 startingPage "020503" @default.
• W3177029449 abstract "We investigate the dynamic event-triggered state estimation for uncertain complex networks with hybrid delays suffering from both deception attacks and denial-of-service attacks. Firstly, the effects of time-varying delays and finite-distributed delays are considered during data transmission between nodes. Secondly, a dynamic event-triggered scheme (ETS) is introduced to reduce the frequency of data transmission between sensors and estimators. Thirdly, by considering the discussed plant, dynamic ETS, state estimator, and hybrid attacks into a unified framework, this framework is transferred into a novel dynamical model. Furthermore, with the help of Lyapunov stability theory and linear matrix inequality techniques, sufficient condition to ensure that the system is exponentially stable and satisfies H ∞ performance constraints is obtained, and the design algorithm for estimator gains is given. Finally, two numerical examples verify the effectiveness of the proposed method." @default.
• W3177029449 created "2021-07-05" @default.
• W3177029449 creator A5028561514 @default.
• W3177029449 creator A5067341004 @default.
• W3177029449 creator A5082743922 @default.
• W3177029449 date "2022-01-01" @default.
• W3177029449 modified "2023-10-16" @default.
• W3177029449 title "Robust H _∞ state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks" @default.
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• W3177029449 doi "https://doi.org/10.1088/1674-1056/ac0ee9" @default.
• W3177029449 hasPublicationYear "2022" @default.
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