HYBRID IDENTIFICATION OF NONLINEAR BIOCHEMICAL PROCESSES
HYBRID IDENTIFICATION OF NONLINEAR BIOCHEMICAL PROCESSES
复制标题
非线性生化过程的混合识别
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
N. Riel
中科院分区：
文献类型：
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作者：
M. Musters;D. Lindenaar;A. Juloski;N. Riel
解开生物化学网络的复杂性需要了解各个组成部分之间的定量关系。然而，生化过程的非线性动力学很难用传统的辨识方法进行辨识。因此，我们建议模拟复杂的非线性生化过程与几个简单的系统（模式），连同切换规则，确定哪种模式是活跃的，即与混合系统。我们考虑一个非线性生化振荡器的例子，并提出了一个简单的分段仿射（PWA）近似。定性分析表明，PWA模型是能够捕捉到的非线性振子的动力学。混合识别过程随后被应用于识别PWA模型的参数。
Abstract Disentangling the complexity of biochemical networks requires knowledge about the quantitative relationships between the individual components. However, the nonlinear dynamics of biochemical processes are difficult to identify with traditional identification methods. We therefore propose to model the complex nonlinear biochemical processes with several simpler systems (modes), together with a switching rule that determines which mode is active, i.e. with a hybrid system. We consider the example of a nonlinear biochemical oscillator, and propose a simple piecewise affine (PWA) approximation. Qualitative analysis shows that the PWA model is able to capture the dynamics of the nonlinear oscillator. Hybrid identification procedure is subsequently applied to identify the parameters of the PWA model.