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Article
Chaos Analysis and Control for a Class of SIR Epidemic Model with Seasonal Fluctuation
International Journal of Biomathematics
  • Yi Zhang, Northeastern University; Shenyang University of Technology
  • Qingling L. Zhang, Northeastern University
  • Fuzhen Zhang, Nova Southeastern University
  • Fenglan Bai, Dalian Jiaotong University
Document Type
Article
Publication Date
1-1-2013
Keywords
  • Epidemic model,
  • Differential-algebraic system,
  • Seasonal fluctuation,
  • Chaos,
  • Tracking control
Disciplines
Abstract

In this paper, the problems of chaos and chaos control for a class of susceptible-infected-removed (SIR) epidemic model with seasonal fluctuation are investigated. The seasonality in outbreak is natural among infectious diseases, as the common influenza, A type H1N1 influenza and so on. It is shown that there exist chaotic phenomena in the epidemic model. Furthermore, the tracking control method is used to control chaotic motions in the epidemic model. A feedback controller is designed to achieve tracking of an ideal output. Thus, the density of infected individuals can converge to zero, in other words, the disease can be disappeared. Finally, numerical simulations illustrate that the controller is effective

Comments

AMSC: 37G10

DOI
10.1142/S1793524512500635
Citation Information
Yi Zhang, Qingling L. Zhang, Fuzhen Zhang and Fenglan Bai. "Chaos Analysis and Control for a Class of SIR Epidemic Model with Seasonal Fluctuation" International Journal of Biomathematics Vol. 6 Iss. 1 (2013) p. 11pp ISSN: 1793-5245
Available at: http://works.bepress.com/fuzhen-zhang/29/