微扰迭代法与直接法及模糊策略求解未感染乙型肝炎病毒动力学最优控制问题的比较

IF 0.5 Q3 MATHEMATICS Malaysian Journal of Mathematical Sciences Pub Date : 2023-09-13 DOI:10.47836/mjms.17.3.01
Daoussa Haggar Mahamat Saleh, Jean Marie Ntaganda
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引用次数: 0

摘要

本文旨在用摄动迭代法解决治疗过程中HBV感染动态的最优控制问题。这种方法是确定无法得到精确解的非线性方程的近似解的一种工具。为了验证该方法的有效性,作者提出将数值模拟结果与直接法和模糊逻辑策略的结果进行比较。解决上述最优控制问题的新方法非常重要,因为与其他两种方法得到的结果相比,它们与实验数据很好地吻合,并且它们证明了药物对HBV患者未感染肝细胞,感染肝细胞和游离病毒粒子的动力学反应。由于摄动迭代法可以得到与其他数值方法接近的满意结果,因此它是确定最优控制问题解的重要数值工具。特别是,它提供了医学、生物学和其他相关科学领域的最佳轨迹。例如,作为人体控制的治疗反应保证了患者的健康。
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Perturbation Iteration Method Compared with Direct Method and Fuzzy Logic Strategy for Solving An Optimal Control Problem of An Uninfected Hepatitis B Virus Dynamics
This paper aims at solving the optimal control problem of the dynamic of HBV infection under treatment using the perturbation iteration method. This method serves as a tool to determine the approximate solutions of nonlinear equations for which exact solutions cannot be obtained. To test the efficacy of this method, the authors propose to compare the numerical simulation results with those of the direct method and fuzzy logic strategy. The newly used method for solving the above optimal control problem is very important since the findings compared to those obtained from the two other methods are in good agreement with experimental data and they demonstrate the response drugs to the dynamics of uninfected hepatocytes, infected hepatocytes, and free virions for a patient suffering from HBV. Since the perturbation iteration method provides satisfactory results which are close to other used numerical methods, it is an important numerical tool to determine the solution of an optimal control problem. In particular, it provides optimal trajectories in medicine, biology, and other related scientific fields. For instance, the response of treatment as control of the human body ensures the health of patients.
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来源期刊
CiteScore
1.10
自引率
20.00%
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期刊介绍: The Research Bulletin of Institute for Mathematical Research (MathDigest) publishes light expository articles on mathematical sciences and research abstracts. It is published twice yearly by the Institute for Mathematical Research, Universiti Putra Malaysia. MathDigest is targeted at mathematically informed general readers on research of interest to the Institute. Articles are sought by invitation to the members, visitors and friends of the Institute. MathDigest also includes abstracts of thesis by postgraduate students of the Institute.
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