Chaos Control and Bifurcations in a Modified Discrete Prey–Predator Model with Weak Multiple Allee Effect

This study explores the local dynamics of a discrete-time prey–predator model, which has been modified to include a weak multiple Allee effect on the prey population. The investigation encompasses topological categorization, bifurcation analysis, and chaos control. The analysis reveals that the model exhibits flip bifurcation and Neimark–Sacker bifurcation within a narrow vicinity of the coexistence equilibrium point, as demonstrated through bifurcation theory. Furthermore, the direction of these bifurcations is elucidated. To stabilize chaos resulting from the bifurcation, the OGY method is employed. Numerical simulations are conducted to validate the theoretical findings, with maximum Lyapunov exponents indicating the probability of chaos in the model.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2025-06-17
DOI
https://doi.org/10.1142/s021812742550124x
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76
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article

Chaos Control and Bifurcations in a Modified Discrete Prey–Predator Model with Weak Multiple Allee Effect

Fi̇gen Kangalgi̇l, Meltem Altunkaynak
2 citations
International Journal of Bifurcation and Chaos
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Chaos Control and Bifurcations in a Modified Discrete Prey–Predator Model with Weak Multiple Allee Effect

Fi̇gen Kangalgi̇l, Meltem Altunkaynak
article en
2 citations

Abstract

This study explores the local dynamics of a discrete-time prey–predator model, which has been modified to include a weak multiple Allee effect on the prey population. The investigation encompasses topological categorization, bifurcation analysis, and chaos control. The analysis reveals that the model exhibits flip bifurcation and Neimark–Sacker bifurcation within a narrow vicinity of the coexistence equilibrium point, as demonstrated through bifurcation theory. Furthermore, the direction of these bifurcations is elucidated. To stabilize chaos resulting from the bifurcation, the OGY method is employed. Numerical simulations are conducted to validate the theoretical findings, with maximum Lyapunov exponents indicating the probability of chaos in the model.

International Journal of Bifurcation and ChaosVol. 35(10)
Dokuz Eylül University (TR)
Openalex Percentile: Top 7%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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