An advanced Fuzzy Logic Controller (FLC) that considers all the states of the brain tumor system is designed for the chemotherapy treatment. A Mamdani-type FLC is proposed for dynamically controlling the chemotherapy drug for the tumor system; the chemotherapy treatment of brain tumors requires advanced strategies which mainly depend upon the severity of the tumor. In this work, the advanced FLC designed aims both at determining the amount of chemotherapy to eliminate tumor cells, and at preserving the minimum amount of healthy and immune cells. The controller's performance is verified using MATLAB software based on different control parameters, showing its effectiveness in reducing the tumor cells. It has shown favorable results in terms of steady-state error, rate of convergence, and amount of drug consumed.

Fuzzy Logic Controller for the Chemotherapy of Brain Tumor / Zubair, Muhammad; Iacoviello, Daniela; Mughal Iqra, Shafeeq. - (2023), pp. 1942-1947. (Intervento presentato al convegno International Conference on Control, Decision and Information Technologies, CoDIT tenutosi a Rome; Italy) [10.1109/CoDIT58514.2023.10284502].

Fuzzy Logic Controller for the Chemotherapy of Brain Tumor

Zubair Muhammad
;
Iacoviello Daniela;
2023

Abstract

An advanced Fuzzy Logic Controller (FLC) that considers all the states of the brain tumor system is designed for the chemotherapy treatment. A Mamdani-type FLC is proposed for dynamically controlling the chemotherapy drug for the tumor system; the chemotherapy treatment of brain tumors requires advanced strategies which mainly depend upon the severity of the tumor. In this work, the advanced FLC designed aims both at determining the amount of chemotherapy to eliminate tumor cells, and at preserving the minimum amount of healthy and immune cells. The controller's performance is verified using MATLAB software based on different control parameters, showing its effectiveness in reducing the tumor cells. It has shown favorable results in terms of steady-state error, rate of convergence, and amount of drug consumed.
2023
International Conference on Control, Decision and Information Technologies, CoDIT
brain tumor; controller design; fuzzy control; malignant tumor
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Fuzzy Logic Controller for the Chemotherapy of Brain Tumor / Zubair, Muhammad; Iacoviello, Daniela; Mughal Iqra, Shafeeq. - (2023), pp. 1942-1947. (Intervento presentato al convegno International Conference on Control, Decision and Information Technologies, CoDIT tenutosi a Rome; Italy) [10.1109/CoDIT58514.2023.10284502].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1693776
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