Cancer Growth Treatment by Adaptive Robust Immune Pole Placement Controller with Different Structures

Mohammed ayad Hussein, Ekhlas Hameed Karam

Abstract


Despite medical and technological advancements that can detect and cure many cancer forms, cancer incidence and mortality rates are rising worldwide. A tumor-killing virus that infects and analyzes cancer cells while leaving most normal cells intact is known as an oncolytic virus. The mathematical model of interact between tumor cells and oncolytic viruses used to provide closely look to these technics used in cancer treatment.  In this article, an Adaptive Robust Immune Pole Placement (ARIPP) controller based on an Improved Crow Search Algorithm (ICSA) has been suggested to deliver oncolytic viruses. The control method was evaluated on a computer using MATLAB simulation. Furthermore, the dynamic uncertainty also tested, results show tumor cells reduced to a specific therapeutic zone. The suggested controller ARIPP I structure shows more excellent performance than structure II and III structure by 3.2707%, 3.5452%, respectively.

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References


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