STRUCTURAL IDENTIFIABILITY OF THE PARAMETERS OF A NONLINEAR BATCH REACTOR MODEL
STRUCTURAL IDENTIFIABILITY OF THE PARAMETERS OF A NONLINEAR BATCH REACTOR MODEL
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DOI：
10.1016/0025-5564(92)90058-5
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发表时间：
1992-03-01
影响因子：
4.3
通讯作者：
GODFREY, KR
中科院分区：
文献类型：
--
作者：
CHAPPELL, MJ;GODFREY, KR
利用相似变换方法分析了间歇式反应器中微生物生长的非线性模型参数的结构可辨识性。 据发现，一些模型参数是无法识别的，从这个实验中，从而提供了第一个例子，一个现实生活中的非线性模型，原来不是全球可识别的。 如果可以测量生长限制底物的初始浓度，则所有模型参数都可以全局识别。
The similarity transformation approach is used to analyze the structural identifiability of the parameters of a nonlinear model of microbial growth in a batch reactor in which only the concentration of microorganisms is measured. It is found that some of the model parameters are unidentifiable from this experiment, thus providing the first example of a real-life nonlinear model that turns out not to be globally identifiable. It it is possible to measure the initial concentration of growth-limiting substrate as well, all model parameters are globally identifiable.