Abstract:
Amongst the various treatment models, chemotherapy is the most significant and widely practiced to cure cancer. More computerized mathematical models have been introduced for controlling the growth of tumors and also to maintain normal and immune cells in their desired values by adjusting the drug dosages. Because of the inaccuracies of measurement and biological changes, a proper quantity of model parameters is unavailable. Hence it is needed to model a controller in a way that should be robust over the parameter uncertainty and deviations. This paper introduces a new robust controller that manipulates the dosage of the drug and does parameter estimation as well. Further, a Nonlinear Error Function based EKF (NEF-EKF) is introduced to estimate the tumor cells as it is complex to measure at the time of vivo experiments. The performance of the proposed controller is compared over other conventional models, and the outcomes show the proper effect of drug dosage injection on immune, normal, and tumor cells. It is also guaranteed that the proposed controller does a robust performance on parameter uncertainties. Furthermore, it is proved that the proposed improved Kalman Filter has the ability on evaluating the tumor cells with high accuracy.
Audience Take Away Notes:
- This research proposes a novel robust controller that manipulates the drug dosage and does the estimation of the parameters by the introduction of a new NEF-EKF
- The performance of the proposed controller is compared over other conventional models and proves the proper effect of injection of the drug on immune, normal, and tumor cells
- The performance of the proposed improved Kalman Filter is proven and it has the capability on estimating immune cells with high accuracy
