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Type: Journal article
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
Author: Gu, Z.
Shi, P.
Yue, D.
Ding, Z.
Citation: IEEE Transactions on Cybernetics, 2019; 49(5):1570-1579
Publisher: IEEE
Issue Date: 2019
ISSN: 2168-2267
Statement of
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.
DOI: 10.1109/TCYB.2018.2802044
Grant ID: 61473156
Appears in Collections:Aurora harvest 4
Electrical and Electronic Engineering publications

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