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SUBOPTIMAL PERIODICAL CONTROL FOR THE INFINITE DIMENSIONAL SYSTEMS WITH APPLICATION TO BIOMEDICAL MODELLING

机译:无限维系统的次最优周期控制及其在生物医学建模中的应用

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摘要

This paper presents analysis of a certain class of bilinear models with infinite dimensional, tridiagonal system matrix. For such systems, an optimal control problem is defined. In order to derive necessary conditions for optimal control, the model description is transformed into an integro-differential one. After giving the necessary conditions for optimal control a gradient method based approach for finding the solution of the stated problem is presented. Analysis of obtained computational results leads to development of another method that allows finding suboptimal, periodical solutions. Finally, the meaning of obtained results for real-life applications is discussed. The solution to the optimization problem is shown for one of model applications, i.e. evolution of drug resistance in cancer cells. However, the approach to the problem can be also applied to other cases in which dynamical models have similar form.
机译:本文介绍了一类具有无限维,三对角系统矩阵的双线性模型的分析。对于这样的系统,定义了最佳控制问题。为了得出最佳控制的必要条件,将模型描述转换为整数微分模型。在给出最佳控制的必要条件之后,提出了一种基于梯度方法的方法来找到所述问题的解决方案。对获得的计算结果的分析导致了另一种方法的发展,该方法允许找到次优的周期解。最后,讨论了获得的结果在现实生活中的意义。针对模型应用之一(即癌细胞中耐药性的演变)显示了优化问题的解决方案。但是,该问题的方法也可以应用于动力学模型具有相似形式的其他情况。

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