Pandey, Ayush and Ames, Aaron D. (2020) On a Converse theorem for Finite-time Lyapunov Functions to Estimate Domains of Attraction. In: 2020 American Control Conference (ACC). IEEE , Piscataway, NJ, pp. 3763-3769. ISBN 9781538682661. https://resolver.caltech.edu/CaltechAUTHORS:20200730-143943387
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Abstract
The main result of the paper is a new converse theorem for finite-time Lyapunov functions. We show the existence of a finite-time Lyapunov function for an autonomous continuous-time nonlinear dynamical system if the origin of the system is asymptotically stable. Our proof extends the recent results in finite-time Lyapunov function theory by providing an alternative converse proof for the existence of finite-time Lyapunov functions. In particular, we show that given asymptotic stability of the origin, the linearized dynamics satisfy global finite-time Lyapunov function conditions hence proving the converse theorem. Using our results, we present a consolidated theory for using and constructing Lyapunov functions to certify system stability properties. We also propose a constructive algorithm to efficiently compute non-conservative estimates of the domain of attraction for nonlinear dynamical systems.
Item Type: | Book Section | ||||||
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Additional Information: | © 2020 AACC. | ||||||
DOI: | 10.23919/acc45564.2020.9147709 | ||||||
Record Number: | CaltechAUTHORS:20200730-143943387 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20200730-143943387 | ||||||
Official Citation: | A. Pandey and A. D. Ames, "On a Converse theorem for Finite-time Lyapunov Functions to Estimate Domains of Attraction," 2020 American Control Conference (ACC), Denver, CO, USA, 2020, pp. 3763-3769, doi: 10.23919/ACC45564.2020.9147709 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 104668 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | George Porter | ||||||
Deposited On: | 31 Jul 2020 14:23 | ||||||
Last Modified: | 16 Nov 2021 18:33 |
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