The existence of chaotic behavior in the model is confirmed by computing of the maximum Lyapunov exponents.
📌 3 Key Takeaways
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Objective & Hypothesis:This article is about a discrete-time predator-prey model obtained by the forward Euler method.
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Key Findings & Data:Finally, Neimark-Sacker bifurcation, chaos control strategy, and asymptotic stability of the only positive fixed point are verified with the help of numerical simulations.
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Conclusion & Impact:The existence of chaotic behavior in the model is confirmed by computing of the maximum Lyapunov exponents.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Predator-Prey Model · Fixed Point · Stability
Abstract
This article is about a discrete-time predator-prey model obtained by the forward Euler method. The stability of the fixed point of the model and the existence conditions of the Neimark-Sacker bifurcation are investigated. In addition, the direction of the Neimark-Sacker bifurcation is given. Moreover, OGY control method is to implement to control chaos caused by the Neimark-Sacker bifurcation. Finally, Neimark-Sacker bifurcation, chaos control strategy, and asymptotic stability of the only positive fixed point are verified with the help of numerical simulations. The existence of chaotic behavior in the model is confirmed by computing of the maximum Lyapunov exponents.
IŞIK, S., KANGALGİL, F. (2022). Controlling chaos and Neimark-Sacker bifurcation in a discrete-time predator-prey system. Hacettepe Journal of Mathematics and Statistics, Cilt: 49 - Sayı: 5, 1761–1776. https://ajindex.com/articles/529590
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