Adaptive Robust Nonlinear Controller Design For Drug Delivery In Chemotherapy Cancer Treatment

Abstract

Cancer is the second most fatal disease worldwide resulting in millions of deaths world- wide. Numerous complex biological interactions result in the growth of a malignant

tumor.The tumor forms as a result of the body’s normal cells expanding incorrectly

and out of control. Chemotherapy is most widely used treatment for eradicating ma- lignant tumors from the body. Chemotherapy medicine, however, has adverse impacts

on the patient’s body. The regulation of chemotherapeutic drugs has been suggested in this thesis using adaptive non-linear control methods. For this purpose, a four-state

ODE model proposed in the literature has been used. The model’s structure is exceed- ingly nonlinear and chaotic. For the control of chemotherapeutic medication, adaptive

controllers using nonlinear control techniques such as ASMC, AISMC, ASTSMC, and ATSMC have been developed. Mathematical analysis based on the Lyapunov stability

theory has been addressed to verify the controller stability.The performance of sug- gested controllers are compared in Simulink/MATLAB. Furthermore, we were not only

restricted to MATLAB/SIMULINK, we also performed simulations using the hardware- in-the-loop to gain the confidence regarding our designed controller performance when

implemented on actual hardware. The results show that in comparison to the already published control techniques in literature, our ATSMC controller performs best with quick tumor cells removal from body (5% less days to recovery) for minimal amount of drug delivery(46% less dosage drug).