Design and implementation of an adaptive fuzzy sliding mode controller for drug delivery in treatment of vascular cancer tumours and its optimisation using genetic algorithm tool

Design and implementation of an adaptive fuzzy sliding mode controller for drug delivery in treatment of vascular cancer tumours and its optimisation using genetic algorithm tool

Abstract In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by designing two optimal non‐linear controllers. The related gains of the designed controllers are optimised using genetic algorithm and simultaneously are adapted by employing the Fuzzy schedulin...

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Bibliographic Details
Main Authors: Ehsan Sadeghi Ghasemabad, Iman Zamani, Hami Tourajizadeh, Mahdi Mirhadi, Zahra Goorkani Zarandi
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:IET Systems Biology
Subjects:
adaptive control
cancer
closed loop systems
drug delivery systems
fuzzy control
genetic algorithms
Online Access:https://doi.org/10.1049/syb2.12051

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