Fuzzy Control for Drug Delivery in Cancerous Tumors Chemotherapy

Different strategies are studied to control chemotherapy delivery in cancerous tumors. The main aim of control is to reduce cancer cells immediately and, at the same time, it is the least harm to the healthy tissue of the body. Besides, at the end of treatment, the amount of drug remaining in the patient's body should be as low as possible. Various control algorithms are applied dynamic models with different orders. In this paper, a model for cancer with five ordinary differential equations by considering normal, endothelial and cancer cells, and the amount of two chemotherapy drugs and anti-angiogenic residues in the body as state space variables and the rate of injection of as a control After discussing the mathematical model of the system, the system is controlled by defining the rules along with and by one of the control signals (rate of chemotherapy drug). This means that the rate of normal and cancerous counts as the input of the fuzzy controller and the amount of chemotherapy drug signal is the output. The simulation results show that in the last days of treatment, cancer cells have a downward trend, and normal and endothelial cells also tend to the healthy state. The solutions of the fuzzy controller are compared with the uncontrolled mode as well as the available experimental data. The results indicate that the system has met the permissible limits, which indicates the validity of the answer from the fuzzy controller.