Kybernetes

Purpose – This paper aims at applying the proven Adomian and Alienor methods to solve the problem of optimal chemotherapy of HIV model.

Design/methodology/approach – The combination of the Adomian decomposition method and the Alienor reduction method allows us to solve the control problem as if it were a classical one-dimensional minimization problem. The methodology is applied to a HIV model and simulation results given.

Findings – A general abstract framework for the control of a non-linear evolution system has been developed. It was shown that it is possible to control a system by using the powerful techniques of Adomian and Alienor, and produce results comparable with those obtained by classical methods where other cost functions are used.

Research limitations/implications – The benefit of this work is based on the CD4 healthy cells being maximized and the cost based on a drug dose being minimized. The new methodology could be used after further research for solving many control problems in biology and in other areas such as those involving industrial processes.

Practical implications – New methodology is cost-effective in controlling the drug dose affecting rate of infection of cells by HIV virus.

Originality/value – New application of proven methodology will solve many control problems in biocybernetics/biomedicine/industry and other fields.