Dynamic Analysis of a Fractional Breast Cancer Model with Incommensurate Orders and Optimal Control

This paper constructs a fundamental mathematical model to depict the therapeutic effects of two drugs on breast cancer patients. The model is described by fractional order differential equations with two control variables. Two scenarios are considered: the constant control and the optimal control. For the constant control scenario, the existence and uniqueness of the solution of the system are proved by using the fixed point theorem and combining with the Caputo–Fabrizio fractional derivative; then, the sufficient conditions for the existence and stability of the system’s equilibriums are derived. For the optimal control scenario, the optimal control solution is obtained by using the Pontryagin’s maximum principle. To further validate the effectiveness of the theoretical results, numerical simulations were conducted. The results show that the parameters have significant sensitivity to the dynamic behavior of the system.

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Publication Details

Journal
Fractal and Fractional
Published
2025-06-06
DOI
https://doi.org/10.3390/fractalfract9060371
Citations
2
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
2.74
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article

Dynamic Analysis of a Fractional Breast Cancer Model with Incommensurate Orders and Optimal Control

Ruiqing Shi, Yanling Zhao
2 citations
Fractal and Fractional
Mathematical Biology Tumor Growth
2.74
article

Dynamic Analysis of a Fractional Breast Cancer Model with Incommensurate Orders and Optimal Control

Ruiqing Shi, Yanling Zhao
article en
2 citations

Abstract

This paper constructs a fundamental mathematical model to depict the therapeutic effects of two drugs on breast cancer patients. The model is described by fractional order differential equations with two control variables. Two scenarios are considered: the constant control and the optimal control. For the constant control scenario, the existence and uniqueness of the solution of the system are proved by using the fixed point theorem and combining with the Caputo–Fabrizio fractional derivative; then, the sufficient conditions for the existence and stability of the system’s equilibriums are derived. For the optimal control scenario, the optimal control solution is obtained by using the Pontryagin’s maximum principle. To further validate the effectiveness of the theoretical results, numerical simulations were conducted. The results show that the parameters have significant sensitivity to the dynamic behavior of the system.

Fractal and FractionalVol. 9(6)
Shanxi Normal University (CN)
Openalex Percentile: Top 11%
Mathematical Biology Tumor Growth
2.74
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