中和
理论(学习稳定性)
控制理论(社会学)
刺激
计算机科学
上下界
计算机模拟
数学
模拟
神经科学
心理学
免疫学
医学
抗体
控制(管理)
数学分析
人工智能
机器学习
作者
Jianquan Li,Xiangxiang Ma,Yuming Chen,Dian Zhang
出处
期刊:Discrete and Continuous Dynamical Systems-series B
[American Institute of Mathematical Sciences]
日期:2022-01-01
卷期号:27 (12): 7065-7065
被引量:3
标识
DOI:10.3934/dcdsb.2022033
摘要
<p style='text-indent:20px;'>The action of a tumor on the immune system includes stimulation and neutralization, which usually have different time delays. In this work we propose a tumor-immune system to incorporate these two kinds of delays due to tumor actions. We explore effects of time delays on the model and find some different phenomena induced by them. When there is only the neutralization delay, the model has a uniform upper bound while when there is only the stimulation delay, the bound varies with the delay. The theoretic analysis suggests that, for the model only with the stimulation delay, the stability of its tumor-present equilibrium may change at most once as the delay increases, but the increase of the neutralization delay may lead to multiple stability switches for the model only with the neutralization delay. Numerical simulations indicate that, in the presence of the neutralization delay, the stimulation delay may induce multiple stability switches. Further, when the model has two tumor-present equilibria, numerical simulations also demonstrate that the model may present some interesting outcomes as each of the two delays increases. These phenomena include the onset of the cytokine storm, the almost global attractivity of the tumor-free equilibrium for sufficiently large time delays, and so on. These results show the complexity of the dynamic behaviors of the model and different effects of the two time delays.</p>
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