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Neural Processing Letters
Erschienen in: Neural Processing Letters 1/2020

07.05.2020

Finite-Time Synchronization of Hybrid-Coupled Delayed Dynamic Networks via Aperiodically Intermittent Control

verfasst von: Taiyan Jing, Daoyuan Zhang, Tailong Jing

Erschienen in: Neural Processing Letters | Ausgabe 1/2020

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Abstract

In this paper, we investigate finite-time synchronization for a class of delayed dynamic networks with hybrid coupling via aperiodically intermittent control. First, more general models of dynamic networks with transmission delay and self-feedback delay are given. Second, a lemma with a newly added parameter is proposed to ensure finite-time synchronization of dynamic networks via an aperiodically intermittent control scheme, in which the newly added parameter can make the convergence time shorter. Third, by constructing a novel piecewise Lyapunov function and applying linear matrix inequality technique, some sufficient conditions ensuring finite-time synchronization for delayed dynamic networks are obtained. Moreover, the convergence time is affected by some decision parameters besides the newly added parameter, one of which is a maximum uncontrolled ratio generated by the definition of aperiodic intermittent control itself. Finally, a numerical example is presented to verify its validity and rationality.
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Metadaten
Titel
Finite-Time Synchronization of Hybrid-Coupled Delayed Dynamic Networks via Aperiodically Intermittent Control
verfasst von
Taiyan Jing
Daoyuan Zhang
Tailong Jing
Publikationsdatum
07.05.2020
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2020
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-020-10245-4

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