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Automatically Discovering Relaxed Lyapunov Functions for Polynomial Dynamical Systems

机译:自动发现宽松Lyapunov用于多项式动力系统的功能

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The notion of Lyapunov function plays a key role in design and verification of dynamical systems, as well as hybrid and cyber-physical systems. In this paper, to analyze the asymptotic stability of equilibrium of a dynamical system, we generalize standard Lyapunov functions to relaxed Lyapunov functions (RLFs), by considering higher order Lie derivatives. Furthermore, we present a relatively complete method for automatically discovering polynomial RLFs for polynomial dynamical systems (PDSs). Our method is relatively complete in the sense that it is able to discover all polynomial RLFs for any PDS by enumerating all polynomial templates.
机译:Lyapunov函数的概念在动态系统的设计和验证以及混合动力和网络物理系统中起着关键作用。在本文中,为了分析动态系统均衡的渐近稳定性,我们通过考虑更高阶的谎言衍生物来推广标准Lyapunov函数以宽松的Lyapunov功能(RLF)。此外,我们提出了一种用于自动发现多项式动力系统(PDS)的多项式RLF的方法。我们的方法是相对完整的,因为它能够通过枚举所有多项式模板来发现任何PDS的所有多项式RLF。

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