<p>This paper proposes and analyzes a novel fractional discrete–time Leslie—Gower population model that incorporates constant immigration and Holling Type II predator–prey interaction. First, a non–dimensional scheme is considered to construct a two–dimensional fractional–order system, and then a fractional–order discretization approach is used. The study focuses on exploring the stability of equilibrium points by conducting stability analyses. Furthermore, Flip bifurcation and Neimark–Sacker bifurcation are studied to elucidate the complex dynamics of the system. To effectively control the chaotic dynamics resulting from these bifurcations, two control strategies, namely the State Feedback Method and the Hybrid Control Method, are used. Numerical simulations are performed to demonstrate the validity of the theoretical results numerically and visually. These findings advance the understanding of complex discrete–time systems and provide insight into how fractional discretization affects ecological models.</p>

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Complex dynamics of a discrete fractional–order Leslie–type predator–prey model with constant immigration effect

  • Sure Köme

摘要

This paper proposes and analyzes a novel fractional discrete–time Leslie—Gower population model that incorporates constant immigration and Holling Type II predator–prey interaction. First, a non–dimensional scheme is considered to construct a two–dimensional fractional–order system, and then a fractional–order discretization approach is used. The study focuses on exploring the stability of equilibrium points by conducting stability analyses. Furthermore, Flip bifurcation and Neimark–Sacker bifurcation are studied to elucidate the complex dynamics of the system. To effectively control the chaotic dynamics resulting from these bifurcations, two control strategies, namely the State Feedback Method and the Hybrid Control Method, are used. Numerical simulations are performed to demonstrate the validity of the theoretical results numerically and visually. These findings advance the understanding of complex discrete–time systems and provide insight into how fractional discretization affects ecological models.