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|Title:||Decentralized adaptive event-triggered H∞ filtering for a class of networked nonlinear interconnected systems|
|Other Titles:||Decentralized adaptive event-triggered H-infinity filtering for a class of networked nonlinear interconnected systems|
|Citation:||IEEE Transactions on Cybernetics, 2019; 49(5):1570-1579|
|Zhou Gu, Peng Shi, Dong Yue, Zhengtao Ding|
|Abstract:||This paper focuses on the issue of designing an adaptive event-triggered scheme to the decentralized filtering for a class of networked nonlinear interconnected system. A novel adaptive event-triggered condition is proposed by constructing an adaptive law for the threshold. This new type of threshold mainly depends on the error between the states at the current sampling instant and the latest releasing instant, by which the data release rate is adapted to the variation of the system. The limitation of network bandwidth is alleviated on account of a large amount of “unnecessary” packets being dropped out before accessing the network. Sufficient conditions are derived such that the overall filtering error system under the proposed adaptive data-transmitting scheme is asymptotically stable with a prescribed disturbance attenuation level. An example is given to show the effectiveness of the proposed scheme.|
|Keywords:||Adaptive event-triggered scheme; filtering; non-linear networked interconnected system; Takagi–Sugeno (T–S) fuzzy model|
|Rights:||© 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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