A New Control Methodology for Active Control of Drug Administration in Cancer Chemotherapy

In this paper, a new methodology is proposed for for active feedback control of drug administration in cancer chemotherapy. In this way, a nonlinear mathematical model is used to describe the dynamics between the tumor cells, immune-effector cells, and the cytokine interleukin-2 (IL-2). The proposed control method is based on the combination of takagi-sugeno fuzzy modelling, parallel distributed compensation and feedback linearization strategies. For this purpose, the control input has two components: a) a part is used to eliminate some nonlinear terms; b) another part is considered to stabilize the reminding nonlinear dynamical model. Then, the direct Lyapunov method is used for stability analysis and stabilizing controller design. Simulation studies on well-known benchmark problems demonstrate the effectiveness of the proposed method.