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A Computational Method for Solving Fractional Optimal Control Problems Arising in Cancer Treatment

Authors: Sabermahani, Sedigheh; Ordokhani, Yadollah;

A Computational Method for Solving Fractional Optimal Control Problems Arising in Cancer Treatment

Abstract

The main aim of this study is to present a computational method based on Fibonacci polynomials for solving fractional nonlinear optimal control problems, where this scheme is applied to solving the optimal control problems of cancer treatment. Here, a pseudo-operational matrix of fractional integration is presented for the considered polynomials. Then, we use this matrix, the Gaussian quadrature rule, and the collocation method to reduce the given problem into a system of algebraic equations. The effectiveness of the present technique is tested by means of one example, and the results confirm its good performance.

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Keywords

collocation method, Fibonacci polynomials, cancer, Pseudo-operational matrix, Optimal control problem

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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