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Author Melgarejo, M.A. ♦ Pena-Reyes, C.A. ♦ Sanchez, E.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Control system synthesis ♦ Human immunodeficiency virus ♦ Nonlinear dynamical systems ♦ Fuzzy systems ♦ Medical control systems ♦ Genetics ♦ Nonlinear control systems ♦ Fuzzy control ♦ Control systems ♦ Boosting
Abstract This paper presents a genetic fuzzy system approach to control a nonlinear dynamic model of the HIV infection. The system is conceived to find mamdani fuzzy controllers that are capable of boosting the immune response while reducing the impact on the body because of the use of potentially toxic medicaments. General aspects of the used approach are described while special emphasis is given to the evolutionary mechanism. The best solution found from several evolutionary runs is analyzed in terms of control and interpretability issues.
Description Author affiliation: Ecole Polytech. Federale de Lausanne, Lausanne (Melgarejo, M.A.)
ISBN 0780394887
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-07-16
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 515.52 kB
Page Count 8
Starting Page 2323
Ending Page 2330

Source: IEEE Xplore Digital Library