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Automatically Discovering Relaxed Lyapunov Functions for Polynomial Dynamical Systems

2011/03/17 by Jiang Liu, Liu, Jiang, Naijun Zhan +3 · 1 citation
Computer Science · Engineering · #Advanced Control Systems Optimization #Control and Stability of Dynamical Systems #Dynamical Systems (math.DS) #FOS: Electrical engineering #FOS: Mathematics #Formal Methods in Verification #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1103.3372

openalex publication_date 2011/03/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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 a dynamical system, we generalize standard Lyapunov functions to relaxed Lyapunov functions (RLFs), by considering higher order Lie derivatives of certain functions along the system's vector field. Furthermore, we present a complete method to automatically discovering polynomial RLFs for polynomial dynamical systems (PDSs). Our method is complete in the sense that it is able to discover all polynomial RLFs by enumerating all polynomial templates for any PDS.

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