Biological Circuit Models of Immune Regulatory Response: A Decentralized Control System

The purpose of this paper is to present a model of immune control based on recently discovered regulatory properties of the immune system. The immune system is a control system which self optimizes over time to eliminate disease while avoiding harm to the host. The controller acts without centralized authority. Recent research has revealed new T-cell populations involved in regulating the immune response. We show how interactions of these populations at the cellular level can give rise to population dynamics which mimic a PID controller with on/off switching. We study these nonlinear dynamics and show stability using Lyapunov analysis. We also include the results of simulation.

本文的目的是基于免疫系统近期发现的调节特性提出一种免疫控制模型。免疫系统是一个随时间自我优化的控制系统，在避免对宿主造成伤害的同时消除疾病。该控制器的运行没有集中的控制权。近期研究揭示了参与调节免疫反应的新的T细胞群体。我们展示了这些群体在细胞水平上的相互作用如何产生类似于具有开/关切换的PID控制器的群体动力学。我们研究了这些非线性动力学，并使用李雅普诺夫分析证明了稳定性。我们还包含了模拟结果。