Title :
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
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;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6161395
