Biological circuit models of immune regulatory response: A decentralized control system

Author

Peet, Matthew ; Kim, Peter ; Lee, Peter P.

Author_Institution

Illinois Inst. of Tech., IL, USA

fYear

2011

fDate

12-15 Dec. 2011

Firstpage

3020

Lastpage

3025

Abstract

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.

Keywords

Lyapunov methods; artificial immune systems; decentralised control; nonlinear dynamical systems; stability; three-term control; Lyapunov analysis; PID controller; T-cell populations; biological circuit models; cellular level; decentralized control system; disease; immune control; immune regulatory response; nonlinear dynamics; on-off switching; population dynamics; stability; Cancer; Immune system; Integrated circuit modeling; Power system stability; Stability analysis; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on

Conference_Location

Orlando, FL

ISSN

0743-1546

Print_ISBN

978-1-61284-800-6

Electronic_ISBN

0743-1546

Type

conf

DOI

10.1109/CDC.2011.6161395

Filename

6161395