Parameter estimation of an hiv model with mutants using sporadically sampled data

Kim, S.-K.; Kim, J.S.; Yoon, T.-W.

doi:10.5302/J.ICROS.2011.17.8.753

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Parameter estimation of an hiv model with mutants using sporadically sampled data

Kim, S.-K.;
Kim, J.S.;
Yoon, T.-W.

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초록

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. © ICROS 2011.

키워드

Genetic algorithm; HIV model; Mutant virus; Non-uniformly sampled output data; Parameter estimation; Acquired immune deficiency syndrome; Equilibrium point; Estimated parameter; HIV models; Human immunodeficiency virus; Output data; Random noise; Sampled data; State equations; Two-state; Genetic algorithms; Parameter estimation; Viruses; Diseases

제목: Parameter estimation of an hiv model with mutants using sporadically sampled data

저자: Kim, S.-K.; Kim, J.S.; Yoon, T.-W.

DOI: 10.5302/J.ICROS.2011.17.8.753

발행일: 2011

유형: Article

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