MATEC Web Conf.
Volume 355, 20222021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|Number of page(s)||6|
|Section||Mathematical Science and Application|
|Published online||12 January 2022|
Almost anti-periodic solution of inertial neural networks model on time scales
1 National School of Advanced Sciences and Technologies of Borj Cedria, University of Carthage, Tunisia
2 Laboratory of Engineering Mathematics (LR01ES13), Tunisia Polytechnic School, University of Carthage, Tunisia
* Corresponding author: email@example.com
In this work, since the importance of investigation of oscillators solutions, an methodology for proving the existence and stability of almost anti-periodic solutions of inertial neural networks model on time scales are discussed. By developing an approach based on differential inequality techniques coupled with Lyapunov function method. A numerical example is given for illustration.
Key words: Dynamical systems / Time scales / Exponential stability / Almost-anti periodic solution / Inertial Neural Networks
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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