Robust controller for cancer chemotherapy dosage using nonlinear kernel-based error function

Abstract

It is well-known that chemotherapy is the most significant method on curing the most death-causing disease like cancer. These days, the use of controller-based approach for finding the optimal rate of drug injection throughout the treatment has increased a lot. Under these circumstances, this paper establishes a novel robust controller that influences the drug dosage along with parameter estimation. A new nonlinear error function-based extended Kalman filter (EKF) with improved scaling factor (NEF-EKF-ISF) is introduced in this research work. In fact, in the traditional schemes, the error is computed using the conventional difference function and it is deployed for the updating process of EKF. In our previous work, it has been converted to the nonlinear error function. Here, the updating process is based on the prior error function, though scaled to a nonlinear environment. In addition, a scaling factor is introduced here, which considers the historical error improvement, for the updating process. Finally, the performance of the proposed controller is evaluated over other traditional approaches, which implies the appropriate impact of drug dosage injection on normal, immune and tumor cells. Moreover, it is observed that the proposed NEF-EKF-ISF has the ability to evaluate the tumor cells with a better accuracy rate.

Shark Optimization Algorithm: Drug Dosage Estimation in Cancer Chemotherapy

“…To overwhelm the complexity in examining an acceptable solution to the issue because of its nonlinear nature MA with a developed local search scheme was developed. In 2020, Utkarsha L. Mohite and Hirenkumar G. Patel [5], worked on a robust controller which examines drug dosage besides from estimation of parameters here, and a NEF-EKF-ISF was developed. In reality, the error was calculated by employing the traditional difference function and it was utilized to update the procedure of EKF in the conventional models.…”

Robust Control for Cancer Chemotherapy Through Time Delayed Estimation Philosophy

“…Various robust control techniques are also investigated for cancer treatment procedures, namely, adaptive control [21], sliding mode control (SMC) [22], fractional order control [23], fuzzy control [24], extended Kalman filter [25], etc. In [26], an adaptive and robust control technique is developed that can effectively modify drug delivery schedules, with the potential to reduce tumor growth.…”