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Neural Processing Letters

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01-04-2016

Exponential Stability of Switched Time-varying Delayed Neural Networks with All Modes Being Unstable

Authors: Jiangtao Qi, Chuandong Li, Tingwen Huang, Wei Zhang

Published in: Neural Processing Letters | Issue 2/2016

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Abstract

This paper aims to design an appropriate switching law to stabilize the switched neural networks with time-varying delays when all subsystems are unstable. By using the discretized Lyapunov function approach and the extended comparison principle for impulsive systems, the stability of switched delayed neural networks composed full of unstable subsystems is analyzed and a computable sufficient condition is derived in the framework of dwell time. The effectiveness of the proposed results is illustrated by a numerical example.

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Title: Exponential Stability of Switched Time-varying Delayed Neural Networks with All Modes Being Unstable
Authors: Jiangtao Qi
Chuandong Li
Tingwen Huang
Wei Zhang
Publication date: 01-04-2016
Publisher: Springer US
Published in: Neural Processing Letters / Issue 2/2016
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-015-9428-3

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