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文章基本信息

  • 标题:Dynamics of stochastic chemostat models with mixed nonlinear incidence
  • 本地全文:下载
  • 作者:Yue Dong ; Xinzhu Meng
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:3
  • 页码:67-72
  • DOI:10.1016/j.ifacol.2022.05.012
  • 语种:English
  • 出版社:Elsevier
  • 摘要:In this paper, we proposes a stochastic chemostat model with mixed nonlinear incidence. Firstly, the existence and uniqueness of the global positive solutions are proved. Secondly, we demonstrate that the chemostat model is persistence in mean and the solution of this stochastic chemostat model is bounded for any initial condition by constructing the Lyapunov function. Then we obtain the sufficient condition for the existence of an ergodic stationary distribution in this system. Finally, the numerical simulation results of the model are given. The simulation results show that a particular random perturbation can change the fate of microorganisms.
  • 关键词:Stochastic chemostat modelMixed incidenceErgodic stationary distributionExtinctionPersistence in mean
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