A system-theoretic approach for epidemic networks with time-varying population

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

Abstract

In this paper, a modern system-theoretic approach is applied to analyze the dynamics of epidemic networks with time-varying population. Specifically, cooperative system theory, nonnegative matrix theory and large-scale system theory are jointly invoked to study the global asymptotic stability of an equilibrium of interest. The obtained results may provide biologically- meaningful measures for how to control the disease and explain why the disease fades out in the population. An explicit estimate is given to describe how the recovery rate affects the epidemic level.

Original languageEnglish (US)
Title of host publicationProceedings of the 30th Chinese Control Conference, CCC 2011
Pages6475-6480
Number of pages6
StatePublished - 2011
Event30th Chinese Control Conference, CCC 2011 - Yantai, China
Duration: Jul 22 2011Jul 24 2011

Publication series

NameProceedings of the 30th Chinese Control Conference, CCC 2011

Other

Other30th Chinese Control Conference, CCC 2011
CountryChina
CityYantai
Period7/22/117/24/11

Keywords

  • Cooperative Systems
  • Epidemic Dynamics
  • Interconnected Systems
  • Non-negative Matrix

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'A system-theoretic approach for epidemic networks with time-varying population'. Together they form a unique fingerprint.

  • Cite this

    Ye, H., Jiang, Z. P., & Panwar, S. S. (2011). A system-theoretic approach for epidemic networks with time-varying population. In Proceedings of the 30th Chinese Control Conference, CCC 2011 (pp. 6475-6480). [6000901] (Proceedings of the 30th Chinese Control Conference, CCC 2011).