首页> 外文期刊>Kybernetes: The International Journal of Systems & Cybernetics >New results about the identifiability of linear open bicompartmental homogeneous system and the identification of open Michaelis-Menten system by a linear approach
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New results about the identifiability of linear open bicompartmental homogeneous system and the identification of open Michaelis-Menten system by a linear approach

机译:关于线性开放式二室齐次系统的可辨识性和通过线性方法辨识开放Michaelis-Menten系统的新结果

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摘要

Purpose - To prove two results. Namely that if in a linear homogeneous bicompartmental system one compartment is measured then it is indefinable. The second one is related to the identification of non-linear compartmental models by mean of a linear method. Design/methodology/approach - The first result is generalized to linear non-homogeneous bicompartmental systems of Michaelis-Menten M-M systems). The second one is related to the identification of a non-linear compartmental model. The obtained linear system is not homogeneous and must be generalized to nonhomogeneous systems. Then the Jacobian matrix associated to the M-M systems is identified and the M-M parameters are deduced by continuity from the Cauchy problem's solution. Findings - Both stated results were proved and any open linear bicompartmental system whether homogeneous or not, of the type I is identifiable. Research limitations/implications - In compartmental analysis the exchange hypothesis allows us to represent a model of any phenomenon depending on time. Many phenomena require "the enzyme reactions" leading to the M-M laws. These laws assert that the quantity of matter going from compartment can be defined and M-M constants prescribed. This research considers both homogeneous and nonhomogeneous Systems cases. Practical implications - Contributes to the identification of linear and non-linear bicompartmental systems which are of biocybernetical significance. Originality/value - The two proven results are new and applicable.
机译:目的-证明两个结果。即,如果在线性均质双室系统中测量一个隔室,则它是不确定的。第二个与通过线性方法识别非线性隔室模型有关。设计/方法/方法-第一个结果推广到Michaelis-Menten M-M系统的线性非均匀双室系统。第二个与非线性隔室模型的识别有关。所获得的线性系统不是齐次的,必须推广到不齐次的系统。然后,识别与M-M系统关联的雅可比矩阵,并从Cauchy问题的解中通过连续性推导M-M参数。发现-证明了上述两个结果,并且可以识别出任何开放式线性二室系统,无论类型I是否均质。研究局限性/含义-在分类分析中,交换假设使我们能够根据时间表示任何现象的模型。许多现象需要导致M-M定律的“酶反应”。这些定律认为,可以定义从隔室流出的物质的数量,并规定M-M常数。本研究考虑了同构和非同构系统情况。实际意义-有助于识别具有生物计算机遗传学意义的线性和非线性双室系统。原创性/价值-两项证明的结果是新的并且适用。

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