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RISK POPULATION ESTIMATION FOR HIV TRANSMISSION USING A REDUCED ORDER UNCERTAINTY OBSERVER AND A LUENBERGER'S OBSERVER Rafael Martínez-Guerra (1) , Ricardo Aguilar (2) (1) CINVESTAV-IPN Departamento de Control Automático Apartado Postal 14-740, México, D.F. 07360 (2) Departamento de Energía Universidad Autónoma Metropolitana Apartado Postal 75-338, México, D.F. 07300 Abstract In this paper, the problem to estimate the susceptible and the recent infective not yet in treatment groups in a determinate men homosexual population is addressed. The estimation methodology is based on reduced order uncertainty observers with proportional and integral measurement error contribution, considering measure-ments of men homosexual population and infective undergoing treatment group. These estimates allow inferring in some sense the HIV transmission dynamics in order to propose the more adequate health politics. Numerical simulations were carried out comparing the estimation methodology proposed and standard Luenberger observer . Keywords: HIV transmission, high-risk groups, reduced order uncertainty observers, PI observers.
BibTex: @ARTICLE{P1110452003,AUTHOR = {Rafael Martínez-Guerra and Ricardo Aguilar}, TITLE = {RISK POPULATION ESTIMATION FOR HIV TRANSMISSION USING A REDUCED ORDER UNCERTAINTY OBSERVER AND A LUENBERGER'S OBSERVER},JOURNAL = {ICGST International Journal on Automatic Control and System Engineering}, YEAR = {2005}, VOLUME = {05} , ISSUE = {II} }
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