The aim of this project consists of designing personalized therapy strategies to control HIV-1 infection using model based nonlinear control and estimation techniques.

The main tasks include:
Nonlinear dynamic models – relate healthy CD4+T-cells, infected CD4+T-cells and virions;
Nonlinear control methods – compute therapeutic rules – comply with clinical constraints, minimize drug administration;
Application of nonlinear estimation techniques for non-measurable state variables;
High variability system – distinct virus phylogenies and inter and intra-patients different responses;
Experimental clinical validation – models used as a basis and the resulting drug therapy profiles.