论文标题

使用基于傅立叶的预测器 - 矫正器方法,新的最佳周期性控制策略,用于化学仪的最佳定期性能

New Optimal Periodic Control Policy for the Optimal Periodic Performance of a Chemostat Using a Fourier-Gegenbauer-Based Predictor-Corrector Method

论文作者

Elgindy, Kareem T.

论文摘要

以最简单的形式,化学仪的化学仪由微生物或细胞组成,这些细胞或细​​胞在特定的生长阶段不断生长,同时竞争单个限制营养素。在细胞生长速率,底物浓度和稀释速率的某些条件下,该理论预测和数值实验证实,定期操作的化学稳定剂表现出一种“ overyield”状态,在该状态下,在稳态操作下,性能变得更高。在本文中,我们表明,可以使用新型的积分伪光谱(IPS)方法和通过预测器 - 验证器算法组成的新型积分伪光谱方法(IPS)方法和自适应H-IPS方法来准确,有效地得出最大程度地得出Chemostat性能的最佳周期性控制策略。得出了用于构建傅里叶伪谱(PS)集成矩阵和Barycentric-Shifted Gegenbauer(SG)四倍体的新公式。介绍了对SG四元素的误差和收敛速率的严格研究,以及截断的傅立叶级数,插值操作员以及非平滑且通常T-骨化功能的集成运算符。我们还引入了一种新型的自适应方案,用于检测跳跃不连续性并从PS数据中重建分段分析功能。提出了一组广泛的数值模拟,以支持衍生的理论基础。

In its simplest form, a chemostat consists of microorganisms or cells that grow continually in a specific phase of growth while competing for a single limiting nutrient. Under certain conditions of the cell growth rate, substrate concentration, and dilution rate, the theory predicts and numerical experiments confirm that a periodically operated chemostat exhibits an "overyielding" state in which the performance becomes higher than that at steady-state operation. In this paper, we show that an optimal periodic control policy for maximizing chemostat performance can be accurately and efficiently derived numerically using a novel class of integral pseudospectral (IPS) methods and adaptive h-IPS methods composed through a predictor-corrector algorithm. New formulas for the construction of Fourier pseudospectral (PS) integration matrices and barycentric-shifted Gegenbauer (SG) quadratures are derived. A rigorous study of the errors and convergence rates of SG quadratures, as well as the truncated Fourier series, interpolation operators, and integration operators for nonsmooth and generally T-periodic functions, is presented. We also introduce a novel adaptive scheme for detecting jump discontinuities and reconstructing a piecewise analytic function from PS data. An extensive set of numerical simulations is presented to support the derived theoretical foundations.

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