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Study of genetic regulatory networks with Stepanov-like pseudo-weighted almost automorphic coefficients

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Abstract

In this article, we investigated a class of genetic regulatory networks (GRNs) with time-varying delays and Stepanov-like weighted pseudo-almost automorphic coefficients. By Banach fixed point theorem, we firstly established the existence results of the weighted pseudo-almost automorphic solutions for the proposed GRNs. Secondly, by using suitable Lyapunov functional and mathematical analysis skills, new criteria are derived for ensuring the global exponential stability of the solutions. Finally, a numerical example and remarks are provided to substantiate the efficiency of obtained results. The derived results of this article are new and complement many earlier works and the ideas of this work can be applied to investigate other similar systems.

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Authors and Affiliations

  1. Research Units of Mathematics and Applications UR13ES47, Department of Mathematics, Faculty of Sciences of Bizerta, University of Carthage, 7021, Zarzouna, Bizerta, Tunisia

    Chaouki Aouiti & Farah Dridi

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  1. Chaouki Aouiti
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  2. Farah Dridi
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Correspondence to Chaouki Aouiti.

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Aouiti, C., Dridi, F. Study of genetic regulatory networks with Stepanov-like pseudo-weighted almost automorphic coefficients. Neural Comput & Applic 33, 10175–10187 (2021). https://doi.org/10.1007/s00521-021-05780-7

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  • DOI: https://doi.org/10.1007/s00521-021-05780-7

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