Optimal fuzzy control of SIR epidemic with state dependent cost function

Meng Wu, Luo Shengxi

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

Abstract

During the epidemic spread, a flexible strategy on the variation of the epidemic status would be advisable in view of the limited resources. In this paper an optimal fuzzy controller with a state dependent cost function is proposed. And a specific spread model of the influenza A(H1N1) based on the SIR mathematical model is also built up by using the history data. The fuzzy approach has been tested by the simulation and compared with the mathematical spread model, showing a better efficiency in the proposed approach.

Original languageEnglish (US)
Title of host publication2017 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2017-November
ISBN (Electronic)9781538626962
DOIs
StatePublished - Mar 9 2018
Externally publishedYes
Event2017 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2017 - Pingtung, Taiwan, Province of China
Duration: Nov 12 2017Nov 15 2017

Other

Other2017 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2017
CountryTaiwan, Province of China
CityPingtung
Period11/12/1711/15/17

Keywords

  • cost function
  • Fuzzy control
  • influenza A(H1N1)
  • SIR epidemic model

ASJC Scopus subject areas

  • Applied Mathematics
  • Control and Optimization
  • Logic
  • Artificial Intelligence
  • Decision Sciences (miscellaneous)

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  • Cite this

    Wu, M., & Shengxi, L. (2018). Optimal fuzzy control of SIR epidemic with state dependent cost function. In 2017 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2017 (Vol. 2017-November, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iFUZZY.2017.8311791