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Research Article | Open Access

Analysis of finite-time stability in genetic regulatory networks with interval time-varying delays and leakage delay effects

Nayika Samorn1Kanit Mukdasai2Issaraporn Khonchaiyaphum3( )
Faculty of Agriculture and Technology, Nakhon Phanom University, Nakhon Phanom 48000, Thailand
Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
Department of Mathematics, Faculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen Campus, Khon Kaen 40000, Thailand
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Abstract

We primarily examined the effect of leakage delays on finite-time stability problems for genetic regulatory networks with interval time-varying delays. Since leakage delays can occur within the negative feedback components of networks and significantly impact their dynamics, they may potentially cause instability or suboptimal performance. The derived criteria encompass both leakage delays and discrete interval time-varying delays through the construction of a Lyapunov-Krasovskii function. We employed the estimation of various integral inequalities and a reciprocally convex technique. Additionally, these models consider lower bounds on delays, which may be either positive or zero, and allow for the derivatives of delays to be either positive or negative. Consequently, new criteria for genetic regulatory networks with interval time-varying delays under the effect of leakage delays are expressed in the form of linear matrix inequalities. Ultimately, a numerical example is presented to show the effect of leakage delays and to emphasize the significance of our theoretical findings.

CLC number: 34K20, 93D05, 93D40, 34D20

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AIMS Mathematics
Pages 25028-25048

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Cite this article:
Samorn N, Mukdasai K, Khonchaiyaphum I. Analysis of finite-time stability in genetic regulatory networks with interval time-varying delays and leakage delay effects. AIMS Mathematics, 2024, 9(9): 25028-25048. https://doi.org/10.3934/math.20241220

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Received: 01 July 2024
Revised: 05 August 2024
Accepted: 16 August 2024
Published: 15 September 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)