具有Ricker增长的Hassell-Varley模型的分岔分析与混沌控制。

IF 1.8 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2025-12-01 Epub Date: 2025-05-12 DOI:10.1080/17513758.2025.2502336
Lijiao Jia, Yunil Roh, Il Hyo Jung
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引用次数: 0

摘要

ricker型增长模型包含了密度依赖机制,被广泛应用于生态模型中,以拟合广泛的复杂人口增长模式。本文分析了具有Ricker生长的改良Hassell-Varley模型的复杂动力学。首先研究了解的持久性、正稳态的存在唯一性和平衡点的局部稳定性。我们证实,在一定的参数条件下,所提出的系统在R+2的内部发生翻转或neimmark - sacker分岔。采用两种反馈控制措施来控制系统的分岔和混沌。同时,通过数值模拟给出了几个例子来支持我们的理论结果,并举例说明了改进的hassel - varley模型的复杂行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bifurcation analysis and chaos control in a Hassell-Varley model with the Ricker growth.

The Ricker-type growth model, which incorporates a density-dependent mechanism, is widely used in ecological modelling to fit a broad range of complex population growth patterns. In this study, the complex dynamics of a modified Hassell-Varley model with Ricker growth were analysed. We first investigated the permanence of solutions, the existence and uniqueness of the positive steady state and the local stability of equilibrium points. We confirm that, under certain parametric conditions, the proposed system undergoes a flip or Neimark-Sacker bifurcation within the interior of R+2. Two feedback control measures were employed to control bifurcation and chaos in the proposed system. Simultaneously, several examples are provided to support our theoretical results using numerical simulations, and are conducted to illustrate the intricate behaviours of the modified Hassell-Varley model.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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