【摘 要】
：
We investigate the dynamic event-triggered state estimation for uncertain complex networks with hybrid delays suf-feting from both deception attacks and denial-of-service attacks.Firstly,the effects of time-varying delays and finite-distributed delays are
【机 构】
：
School of Intelligent Systems Engineering,Guangxi City Vocational University,Chongzuo 532200,China
论文部分内容阅读
We investigate the dynamic event-triggered state estimation for uncertain complex networks with hybrid delays suf-feting 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 trans-ferred 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.
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