@article{Liu:2012aa,
Abstract = {The notion of Lyapunov function plays a key role in the 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. Furthermore, we present a 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 with a given predefined template for any PDS. Therefore it can also generate all polynomial RLFs for the PDS by enumerating all polynomial templates.},
Author = {Liu, Jiang and Zhan, Naijun and Zhao, Hengjun},
Date = {2012/12/01},
File = {Automatically Discovering Relaxed Lyapunov Functions for Polynomial Dynamical Systems - liu2012 - a.pdf},
ISBN = {1661-8289},
Journal = {Mathematics in Computer Science},
Number = {4},
Pages = {395--408},
Title = {Automatically Discovering Relaxed Lyapunov Functions for Polynomial Dynamical Systems},
URL = {https://doi.org/10.1007/s11786-012-0133-6},
Volume = {6},
Year = {2012},
bdsk-url-1 = {https://doi.org/10.1007/s11786-012-0133-6},
date-added = {2023-04-18 07:32:40 +0200},
date-modified = {2023-04-18 07:32:40 +0200},
id = {Liu2012},
doi = {10.1007/s11786-012-0133-6}
}
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