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Structural Stability of Biochemical Networks: Quadratic vs. Polyhedral Lyapunov Functions

机译:生物化学网络的结构稳定性:二次与多面型Lyapunov功能

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Due to the intrinsic uncertainty and variability affecting biochemical reaction networks, it is fundamental to assess their structural stability, i.e., to establish if all the networks having a given structure are stable independent of specific parameter values. For basic motifs in biochemical networks, we show that stability cannot be structurally proved by quadratic Lyapunov functions. However, structural stability of these motifs can be shown resorting to piecewise-linear Lyapunov functions, based on the results by Blanchini and Giordano (2014), who provide a theoretical framework and efficient numerical methods to evaluate structural stability of biochemical reaction networks with monotone reaction rates.
机译:由于影响生化反应网络的内在不确定性和变异性,基本要评估其结构稳定性,即建立具有给定结构的所有网络与特定参数值稳定。对于生物化学网络中的基本主题,我们表明稳定性不能通过二次Lyapunov功能来构造地证明。然而,这些主题的结构稳定性可以借鉴分段 - 线性Lyapunov功能,基于Blanchini和Giordano(2014)的结果,提供了理论框架和有效的数值方法,以评估生物化学反应网络与单调反应的结构稳定性费率。

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