Hopf Bifurcation and Stability Analysis of a Fractional-Order Lotka-Volterra Predator-PreyModel with Two Delays

This paper investigates the stability and Hopf bifurcation of a class of fractional-order Lotka-Volterra predator-prey models with two time delays. By selecting one time delay as the bifurcation parameter and fixing the other, the criterion for Hopf bifurcation induced by the corresponding time delay is derived. This paper also investigates the interaction between the two time delays via numerical simulations. The results show that the stability of the model can be either weakened or enhanced by appropriately adjusting the time delays. Finally, the feasibility of the proposed findings is verified through numerical examples.

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Publication Details

Journal
Intelligence & Control
Published
2026-06-16
DOI
https://doi.org/10.53941/ic.2026.100005
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00

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article

Hopf Bifurcation and Stability Analysis of a Fractional-Order Lotka-Volterra Predator-PreyModel with Two Delays

Yun Shang, Youming Xin, Zunshui Cheng, Mengfan Zhu et al.
Intelligence & Control
Mathematical and Theoretical Epidemiology and Ecology Models
article

Hopf Bifurcation and Stability Analysis of a Fractional-Order Lotka-Volterra Predator-PreyModel with Two Delays

Yun Shang, Youming Xin, Zunshui Cheng, Mengfan Zhu, Jinde Cao, Xue Lin
article en

Abstract

This paper investigates the stability and Hopf bifurcation of a class of fractional-order Lotka-Volterra predator-prey models with two time delays. By selecting one time delay as the bifurcation parameter and fixing the other, the criterion for Hopf bifurcation induced by the corresponding time delay is derived. This paper also investigates the interaction between the two time delays via numerical simulations. The results show that the stability of the model can be either weakened or enhanced by appropriately adjusting the time delays. Finally, the feasibility of the proposed findings is verified through numerical examples.

Intelligence & ControlVol. 2(2)
Qingdao University of Science and Technology (CN), Southeast University (CN)
National Natural Science Foundation of China, Qingdao University of Science and Technology
Openalex Percentile: Top 6%
Mathematical and Theoretical Epidemiology and Ecology Models
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