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

Matthew Peet, Peter Kim, Peter P. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Pages3020-3025
Number of pages6
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States
Duration: Dec 12 2011Dec 15 2011

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
CountryUnited States
CityOrlando, FL
Period12/12/1112/15/11

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Peet, M., Kim, P., & Lee, P. P. (2011). Biological circuit models of immune regulatory response: A decentralized control system. In 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 (pp. 3020-3025). [6161395] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2011.6161395