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Research Article | Open Access

Mathematical exploration on control of bifurcation for a 3D predator-prey model with delay

Yingyan Zhao1Changjin Xu2( )Yiya Xu3Jinting Lin1Yicheng Pang1Zixin Liu1Jianwei Shen4
School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China
Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang 550025, China
School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China
School of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
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Abstract

In this current paper, we developed a new predator-prey model accompanying delay based on the earlier works. By applying inequality strategies, fixed point theorem, and a suitable function, we got new necessary conditions for the existence, uniqueness, nonnegativeness, and boundedness of the solution to the developed delayed predator-prey model. The bifurcation behavior and stability nature of the defined delayed predator-prey model were investigated by using stability and bifurcation theory of delayed differential equations. We have modified the Hopf bifurcation's appearance time and stability domain by building two distinct hybrid delayed feedback controllers for the delayed predator-prey model. The time of Hopf bifurcation appearance and stability domain of the model were explored. Matlab experiment diagrams were given to support the learned important results. The derived outcomes in this paper were original and have significant theoretical implications for maintaining equilibrium between the densities of the three species.

CLC number: 34C23, 34K18, 37GK15, 39A11, 92B20

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AIMS Mathematics
Pages 29883-29915

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Cite this article:
Zhao Y, Xu C, Xu Y, et al. Mathematical exploration on control of bifurcation for a 3D predator-prey model with delay. AIMS Mathematics, 2024, 9(11): 29883-29915. https://doi.org/10.3934/math.20241445

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Received: 11 September 2024
Revised: 09 October 2024
Accepted: 11 October 2024
Published: 21 October 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)