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Legendre spectral-collocation method for solving fractional optimal control of HIV infection of CD4~+T cells mathematical model

机译:勒让德谱配方法求解HIV感染CD4〜+ T细胞数学模型的部分最优控制

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摘要

In this paper, the optimal control problem of HIV infection is presented. We introduce fractional order into a model of HIV infection where the derivatives are taken in the sense of Caputo. The necessary optimality conditions are characterized using Pontryagin's maximum principle. The optimality system is approximated by shifted Legendre polynomials which transform the system of differential equations into a nonlinear system algebraic equations with unknown coefficients. Newton's iteration method is used to solve this system of nonlinear algebraic equations. The value of the objective function which is obtained by using shifted Legendre polynomials is compared with the value of the objective function which id obtained by using numerical methods such as the iterative optimal control method and forward-backward sweep method. Numerical results are also given to demonstrate the validity and applicability of the presented technique.
机译:本文提出了艾滋病毒感染的最佳控制问题。我们将分数顺序引入到HIV感染模型中,在这种模型中,衍生物是Caputo的意思。使用庞特里亚金的最大原理来表征必要的最优条件。最优系统由移位的Legendre多项式近似,该多项式将微分方程组转换为系数未知的非线性系统代数方程。牛顿迭代法用于求解非线性代数方程组。将通过使用移位的勒让德多项式获得的目标函数的值与通过使用迭代优化控制方法和前向后向扫描方法等数值方法获得的目标函数的值进行比较。数值结果也证明了所提出技术的有效性和适用性。

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