PD control-driven regulation of spatiotemporal patterns in a delayed predator–prey system

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Xiangyi Ma, Yanhua Zhu, Jinliang Wang
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引用次数: 0

Abstract

In this paper, we introduce a Proportional-Derivative (PD) control into the Leslie–Gower predator–prey reaction–diffusion model with time delay to explore its impact on self-organized spatial pattern formation. By incorporating time delay, the model captures realistic ecological constraints arising from predation pressure. Through linear stability analysis and bifurcation theory, we derive the critical conditions for Hopf and Turing bifurcations and demonstrate how PD control modulate these bifurcations to influence pattern formation. Numerical simulations reveal that PD control effectively stabilizes complex ecological patterns, including spiral patterns, spot patterns and irregular patterns, providing a potential approach for ecosystem regulation. Furthermore, we investigate pattern transitions within the Turing instability region using the pattern selection theorem, demonstrating the ability of PD control to guide the system toward desired ecological states.
延迟捕食者-猎物系统中PD控制驱动的时空模式调节
本文将比例导数(PD)控制引入到具有时滞的Leslie-Gower捕食者-猎物反应-扩散模型中,探讨其对自组织空间格局形成的影响。通过纳入时间延迟,该模型捕获了由捕食压力引起的现实生态约束。通过线性稳定性分析和分岔理论,推导了Hopf分岔和Turing分岔的临界条件,并演示了PD控制如何调节这些分岔来影响图形的形成。数值模拟结果表明,PD控制可以有效地稳定螺旋型、斑点型和不规则型等复杂的生态格局,为生态系统调控提供了潜在的途径。此外,我们利用模式选择定理研究了图灵不稳定区域内的模式转换,证明了PD控制引导系统走向理想生态状态的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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