首页> 外文期刊>Mathematical Biosciences: An International Journal >Structural identifiability for a class of non-linear compartmental systems using linearon-linear splitting and symbolic computation
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Structural identifiability for a class of non-linear compartmental systems using linearon-linear splitting and symbolic computation

机译:使用线性/非线性分裂和符号计算的一类非线性车厢系统的结构可识别性

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摘要

Under certain controllability and observability restrictions, two different parameterisations for a nonlinear compartmental model can only have the same input-output behaviour if they differ by a locally diffeomorphic change of basis for the state space. With further restrictions, it is possible to gain valuable information with respect to identifiability via a linear analysis. Examples are presented where non-linear identifiability analyses are substantially simplified by means of an initial linear analysis. For complex models, with four or more compartments, this linear analysis can prove lengthy to perform by hand and so symbolic computation has been employed to aid this procedure. (C) 2003 Elsevier Science Inc. All rights reserved. [References: 19]
机译:在一定的可控制性和可观察性限制下,非线性隔室模型的两个不同参数设置只有通过状态空间的局部微分变化而有所不同时,才能具有相同的输入-输出行为。在进一步的限制下,可以通过线性分析获得有关可识别性的有价值的信息。给出了通过初始线性分析大大简化了非线性可识别性分析的示例。对于具有四个或更多分隔室的复杂模型,此线性分析可以证明手工执行很冗长,因此已使用符号计算来辅助此过程。 (C)2003 Elsevier Science Inc.保留所有权利。 [参考:19]

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