Research Article

A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control

Volume: 4 Number: 3 September 30, 2024
EN

A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control

Abstract

In this paper, we study a three-dimensional discrete-time model to describe the behavior of cancer cells in the presence of healthy cells and HIV-infected cells. Based on the Caputo-like difference operator, we construct the fractional-order biological system. This study's significance lies in developing a new approach to presenting a biological dynamical system. Since the qualitative analysis related to existence, uniqueness, and stability is almost the same as can be found in numerous existing papers, and comparing this study to other research, constructing a biological discrete system using the Caputo difference operator can be particularly important. Using powerful tools of nonlinear theory such as phase plots, bifurcation diagrams, Lyapunov exponent spectrum, and the 0-1 test, we establish that the proposed system can exhibit different biological states, including stable, periodic, and chaotic behaviors. Here, the route leading to chaos is period-doubling bifurcation. Furthermore, the level of chaos in the system is quantified using $C_{0}$ complexity and approximate entropy algorithms. The stabilization or suppression of chaotic motions in the fractional-order system is presented, where an efficient controller is designed based on the stability theory of the discrete-time fractional-order systems. Numerical simulations are provided to validate the theoretical results derived in this research paper.

Keywords

Fractional-order, discrete chaos, HIV-1 model, bifurcation diagram, chaos control

References

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APA
Nabil, H., & Hamaizia, T. (2024). A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control. Mathematical Modelling and Numerical Simulation With Applications, 4(3), 256-279. https://doi.org/10.53391/mmnsa.1484994
AMA
1.Nabil H, Hamaizia T. A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control. MMNSA. 2024;4(3):256-279. doi:10.53391/mmnsa.1484994
Chicago
Nabil, Haneche, and Tayeb Hamaizia. 2024. “A Three-Dimensional Discrete Fractional-Order HIV-1 Model Related to Cancer Cells, Dynamical Analysis and Chaos Control”. Mathematical Modelling and Numerical Simulation With Applications 4 (3): 256-79. https://doi.org/10.53391/mmnsa.1484994.
EndNote
Nabil H, Hamaizia T (September 1, 2024) A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control. Mathematical Modelling and Numerical Simulation with Applications 4 3 256–279.
IEEE
[1]H. Nabil and T. Hamaizia, “A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control”, MMNSA, vol. 4, no. 3, pp. 256–279, Sept. 2024, doi: 10.53391/mmnsa.1484994.
ISNAD
Nabil, Haneche - Hamaizia, Tayeb. “A Three-Dimensional Discrete Fractional-Order HIV-1 Model Related to Cancer Cells, Dynamical Analysis and Chaos Control”. Mathematical Modelling and Numerical Simulation with Applications 4/3 (September 1, 2024): 256-279. https://doi.org/10.53391/mmnsa.1484994.
JAMA
1.Nabil H, Hamaizia T. A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control. MMNSA. 2024;4:256–279.
MLA
Nabil, Haneche, and Tayeb Hamaizia. “A Three-Dimensional Discrete Fractional-Order HIV-1 Model Related to Cancer Cells, Dynamical Analysis and Chaos Control”. Mathematical Modelling and Numerical Simulation With Applications, vol. 4, no. 3, Sept. 2024, pp. 256-79, doi:10.53391/mmnsa.1484994.
Vancouver
1.Haneche Nabil, Tayeb Hamaizia. A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control. MMNSA. 2024 Sep. 1;4(3):256-79. doi:10.53391/mmnsa.1484994