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Neural Processing Letters
Erschienen in: Neural Processing Letters 1/2018

02.06.2017

Stability Analysis of Impulsive Neural Networks with Piecewise Constant Arguments

verfasst von: Tianhu Yu, Dengqing Cao

Erschienen in: Neural Processing Letters | Ausgabe 1/2018

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Abstract

The global exponential stability problem is considered for a class of impulsive neural networks with piecewise constant arguments in this paper. By employing the Banach fixed point theorem and the Razumikhin-type technique, stability criterion is obtained for the existence, uniqueness and global exponential stability of the periodic solution. Typical numerical examples are given to illustrate the improvement in less conservatism of the results.
Vorheriger Artikel Power-Rate Synchronization of Fractional-Order Nonautonomous Neural Networks with Heterogeneous Proportional Delays
Nächster Artikel A Capable Neural Network Framework for Solving Degenerate Quadratic Optimization Problems with an Application in Image Fusion

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Metadaten
Titel
Stability Analysis of Impulsive Neural Networks with Piecewise Constant Arguments
verfasst von
Tianhu Yu
Dengqing Cao
Publikationsdatum
02.06.2017
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2018
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-017-9638-y

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