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Research Article | Open Access

Dynamic complexity of a slow-fast predator-prey model with herd behavior

Ahmad Suleman1,Rizwan Ahmed1Fehaid Salem Alshammari2( )Nehad Ali Shah3,
Department of Mathematics, Air University Multan Campus, Multan, Pakistan
Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
Department of Mechanical Engineering, Sejong University, Seoul 05006, South Korea

These authors contributed equally to this work and are co-first authors

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Abstract

The complex dynamics of a slow-fast predator-prey interaction with herd behavior are examined in this work. We investigate the presence and stability of fixed points. By employing the bifurcation theory, it is shown that the model undergoes both a period-doubling and a Neimark-Sacker bifurcation at the interior fixed point. Under the influence of period-doubling and Neimark-Sacker bifurcations, chaos is controlled using the hybrid control approach. Moreover, numerical simulations are carried out to highlight the model's complexity and show how well they agree with analytical findings. Employing the slow-fast factor as the bifurcation parameter shows that the model goes through a Neimark-Sacker bifurcation for greater values of the slow-fast factor at the interior fixed point. This makes sense because if the slow-fast factor is large, the growth rates of the predator and its prey will be about identical, automatically causing the interior fixed point to become unstable owing to the predator's slow growth.

CLC number: 39A28, 39A30

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AIMS Mathematics
Pages 24446-24472

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Cite this article:
Suleman A, Ahmed R, Alshammari FS, et al. Dynamic complexity of a slow-fast predator-prey model with herd behavior. AIMS Mathematics, 2023, 8(10): 24446-24472. https://doi.org/10.3934/math.20231247

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Received: 12 June 2023
Revised: 23 July 2023
Accepted: 09 August 2023
Published: 15 October 2023
©2023 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)