Fuzzy modeling and control of HIV infection

The present study proposes a fuzzy mathematical model of HIV infection consisting of a linear fuzzy differential equations (FDEs) system describing the ambiguous immune cells level and the viral load which are due to the intrinsic fuzziness of the immune system's strength in HIV-infected patients. The immune cells in question are considered CD4+ T-cells and cytotoxic T-lymphocytes (CTLs). The dynamic behavior of the immune cells level and the viral load within the three groups of patients with weak, moderate, and strong immune systems are analyzed and compared. Moreover, the approximate explicit solutions of the proposed model are derived using a fitting-based method. In particular, a fuzzy control function indicating the drug dosage is incorporated into the proposed model and a fuzzy optimal control problem (FOCP) minimizing both the viral load and the drug costs is constructed. An optimality condition is achieved as a fuzzy boundary value problem (FBVP). In addition, the optimal fuzzy control function is completely characterized and a numerical solution for the optimality system is computed.

Medienart:

E-Artikel

Erscheinungsjahr:

2012

Erschienen:

2012

Enthalten in:

Zur Gesamtaufnahme - volume:2012

Enthalten in:

Computational and mathematical methods in medicine - 2012(2012) vom: 05., Seite 893474

Sprache:

Englisch

Beteiligte Personen:

Zarei, Hassan [VerfasserIn]
Kamyad, Ali Vahidian [VerfasserIn]
Heydari, Ali Akbar [VerfasserIn]

Links:

Volltext

Themen:

Anti-HIV Agents
Journal Article

Anmerkungen:

Date Completed 16.07.2012

Date Revised 21.10.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1155/2012/893474

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM217318509