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2021 | OriginalPaper | Chapter

On Exponential Stability for Delayed Inertial BAM Neural Networks via Non-reduced Order Approach

Authors : Bingnan Tang, Bingjun Li, Jianjun Jiao, Fengjun Di

Published in: Simulation Tools and Techniques

Publisher: Springer International Publishing

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Abstract

The present paper is studying a class of inertial BAM neural networks with general activations and delays. With the help of the non-reduced order method and designing some useful Lyapunov functions, criterions ensuring the exponential stability of the investigated network system are proposed, the obtained conditions are essentially new and complement previously stability results. Moreover, a simulated example is also presented in order to support the established fruits.

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Metadata
Title
On Exponential Stability for Delayed Inertial BAM Neural Networks via Non-reduced Order Approach
Authors
Bingnan Tang
Bingjun Li
Jianjun Jiao
Fengjun Di
Copyright Year
2021
Book
Simulation Tools and Techniques

Print ISBN: 978-3-030-72791-8

Electronic ISBN: 978-3-030-72792-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-72792-5_21

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