基于遗传算法的培养箱模型辨识

Yosra Miladi, M. Feki, N. Derbel
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引用次数: 4

摘要

本文的目的是对新生儿保温箱内的加热问题进行建模。考虑的培养箱由斯法克斯大学医院新生儿中心提供;突尼斯。已经确定了两种模式。第一个是连续的,第二个是离散的。采用遗传算法对模型参数进行了优化。由于模型的非线性,考虑了温度升高时的加热阶段和温度降低时的冷却阶段。所得模型已通过实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the model identification of an incubator based on genetic algorithms
The aim of this paper is the modeling of the heating problem inside an incubator for newborns. The considered incubator has been offered by the neonatology center of the Universitary Hospital of Sfax; Tunisia. Two models has been identified. The first one is continuous and the second one is discrete. Parameters of these models have been optimised by genetic algorithms. Because of the non linearity of the model, two phases have been considered: the heating phase for an increasing of the temperature and the cooling phase for a decreasing of the temperature. Obtained models have been validated experimentally.
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