Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Parameter Estimation of an HIV Model with Mutants using Sporadically Sampled Data

산발적인 데이터를 이용한 HIV 변이모델의 파라미터 추정

  • 김석균 (고려대학교 전기전자전파공학과) ;
  • 김정수 (서울과학기술대학교 제어계측공학과) ;
  • 윤태웅 (고려대학교 전기전자전파공학부)
  • Received : 2011.05.20
  • Accepted : 2011.06.20
  • Published : 2011.08.01
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Abstract

The HIV (Human Immunodeficiency Virus) causes AIDS (Acquired Immune Deficiency Syndrome). The process of infection and mutation by HIV can be described by a 3rd order state equation. For this HIV model that includes the dynamics of the mutant virus, we present a parameter estimation scheme using two state variables sporadically measured, out of the three, by employing a genetic algorithm. It is assumed that these non-uniformly sampled measurements are subject to random noises. The effectiveness of the proposed parameter estimation is demonstrated by simulations. In addition, the estimated parameters are used to analyze the equilibrium points of the HIV model, and the results are shown to be consistent with those previously obtained.

Keywords

Acknowledgement

Supported by : 연구재단

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