Optimal Control Strategy for a Fully Determined HIV Model

Intelligent Control and Automation

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ISSN Online: 2153-0661
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"Optimal Control Strategy for a Fully Determined HIV Model"
written by Mohammad Shirazian, Mohammad Hadi Farahi,
published by Intelligent Control and Automation, Vol.1 No.1, 2010

has been cited by the following article(s):

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[6]	Implementasi model matematika pada penyebaran HIV-AIDS dengan kontrol optimal
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[7]	Double Integral Sliding Mode Control Approach for the Treatment of HIV/AIDS under Antiretroviral Therapy
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[8]	Optimal intervention strategies of a SI-HIV models with differential infectivity and time delays.
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[9]	HIV–TB co-infection treatment control using multi-objective optimized sliding mode
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[10]	Analysis and optimal control of an HIV model based on CD4 count
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[11]	Legendre Pseudospectral Method based Optimal Control of Water-Borne Disease Transmission
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[12]	Integral Backstepping and Synergetic Control for Tracking of Infected Cells during Early Antiretroviral Therapy
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[13]	Optimal control of a time delayed HIV-1 infection model
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[14]	Optimum fuzzy control of human immunodeficiency virus type1 using an imperialist competitive algorithm
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[15]	Mathematical modelling of In-vivo HIV optimal therapy and management
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[16]	Optimal Control Analysis of Computer Virus Transmission
	International Journal of Network Security, 2018

[17]	On Optimal Control Pair Treatment: Clinical Management of Viremia Levels In Pathogenic-Induced HIV-1 Infections
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[18]	Nonlinear control systems-A brief overview of historical and recent advances
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[19]	Optimal intervention strategies of a SI-HIV models with differential infectivity and time delays
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[20]	Optimal Control Model for Pair Chemotherapy Treatment with Time-delay Immunity in Dual HIV-Infectivity
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[21]	On Optimal Control Model for the Treatment of Dual HIV-Parasitoid Pathogen Infection
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[22]	Global stability and persistence of HIV models with switching parameters and pulse control
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[23]	On Analysis of Parameter Estimation Model for the Treatment of Pathogen-Induced HIV Infectivity
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[24]	Synergetic control for HIV infection system of CD4+ T cells
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[25]	AN HIV/AIDS MODEL WITH VERTICAL TRANSMISSION, TREATMENT AND PROGRESSION RATE
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[26]	A model for HIV/AIDS pandemic with optimal control
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[28]	Optimal sigmoid nonlinear stochastic control of HIV-1 infection based on bacteria foraging optimization method
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[29]	A NONLINEAR DETERMINISTIC MODEL FOR HIV-INFECTION DYNAMICS WITH OPTIMAL CONTROL STRATEGY USING POWER SERIES METHOD
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[30]	Using shifted Legendre polynomials for solving optimal control problem of an HIV infection treatment control model
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[31]	Optimal control strategy for a HIV infection model via fourier series
	Journal of Applied Mathematics, Statistics and Informatics (JAMSI)?, 2013

[32]	A Nonlinear Deterministic Model For Hivinfection Dynamics With Optimal Control Strategy Using Power Series Method
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[33]	Research Article Optimal Control of Multiple Transmission of Water-Borne Diseases
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[34]	Using sliding mode control in stability treatment of HIV disease
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[35]	Optimal Control of Multiple Transmission of Water-Borne Diseases
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[36]	ANALISIS DAN KONTROL OPTIMAL PADA MODEL PENYEBARAN VIRUS HIV DALAM TUBUH MANUSIA
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[1]	Global Piecewise Analysis of HIV Model with Bi-Infectious Categories under Ordinary Derivative and Non-Singular Operator with Neural Network Approach Computer Modeling in Engineering & Sciences, 2025 DOI:10.32604/cmes.2024.056604

[2]	Unveiling the Complexity of HIV Transmission: Integrating Multi-Level Infections via Fractal-Fractional Analysis Fractal and Fractional, 2024 DOI:10.3390/fractalfract8050299

[3]	Co-infection dynamics between HIV-HTLV-I disease with the effects of Cytotoxic T-lymphocytes, saturated incidence rate and study of optimal control Mathematics and Computers in Simulation, 2024 DOI:10.1016/j.matcom.2024.04.015

[4]	Analysing transmission dynamics of HIV/AIDS with optimal control strategy and its controlled state Journal of Biological Dynamics, 2022 DOI:10.1080/17513758.2022.2096934

[5]	HIV–TB co-infection treatment control using multi-objective optimized sliding mode Informatics in Medicine Unlocked, 2020 DOI:10.1016/j.imu.2020.100316

[6]	Integral Backstepping and Synergetic Control for Tracking of Infected Cells During Early Antiretroviral Therapy IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2907201

[7]	Optimum fuzzy control of human immunodeficiency virus type1 using an imperialist competitive algorithm Informatics in Medicine Unlocked, 2019 DOI:10.1016/j.imu.2019.100241

[8]	Legendre Pseudospectral Method based Optimal Control of Water-Borne Disease Transmission 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2019 DOI:10.1109/UPCON47278.2019.8980072

[9]	Nonlinear control systems - A brief overview of historical and recent advances Nonlinear Engineering, 2017 DOI:10.1515/nleng-2016-0077

[10]	Nutraceuticals 2016 DOI:10.1016/B978-0-12-802147-7.00030-9

[11]	Global stability and persistence of HIV models with switching parameters and pulse control Mathematics and Computers in Simulation, 2016 DOI:10.1016/j.matcom.2015.12.008

[12]	Synergetic control for HIV infection system of CD4+T cells 2016 16th International Conference on Control, Automation and Systems (ICCAS), 2016 DOI:10.1109/ICCAS.2016.7832364

[13]	Optimal sigmoid nonlinear stochastic control of HIV-1 infection based on bacteria foraging optimization method Biomedical Signal Processing and Control, 2014 DOI:10.1016/j.bspc.2013.11.005

[14]	Optimal Control of Multiple Transmission of Water-Borne Diseases International Journal of Mathematics and Mathematical Sciences, 2012 DOI:10.1155/2012/421419

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