脉冲反馈控制下根际微生物降解扩散的数学模型。

IF 1.8 4区 数学 Q3 ECOLOGY
Zhong Zhao, Ying Chen, Qiuying Li, Xianbin Wu
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引用次数: 0

摘要

考虑到根际微生物容易受到环境因素的影响,我们建立了一个具有脉冲反馈控制的根际微生物三维扩散模型,以描述有益微生物进入植物根际的复杂降解和运动过程。利用脉冲半动力系统的几何理论,得到了1阶周期解存在的充分条件。我们证明了当控制措施实现时,脉冲控制系统趋向于1阶周期解。此外,我们利用文献[Y]中引入的一种新方法研究了1阶周期解的稳定性。叶,极限环理论,上海科学技术出版社,1984。最后,通过数值模拟对数学结果进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical model for diffusion of the rhizosphere microbial degradation with impulsive feedback control.

Considering the rhizosphere microbes easily affected by the environmental factors, we formulate a three-dimensional diffusion model of the rhizosphere microbes with the impulsive feedback control to describe the complex degradation and movement by introducing beneficial microbes into the plant rhizosphere. The sufficient conditions for existence of the order-1 periodic solution are obtained by using the geometrical theory of the impulsive semi-dynamical system. We show the impulsive control system tends to an order-1 periodic solution if the control measures are achieved. Furthermore, we investigate the stability of the order-1 periodic solution by means of a novel method introduced in the literature [Y. Ye, The Theory of the Limit Cycle, Shanghai Science and Technology Press, 1984.]. Finally, mathematical results are justified by some numerical simulations.

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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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