Improved estimation of the chain-recurrent set

Carlos Argaez, Peter Giesl, Sigurdur Freyr Hafstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

When studying the behaviour of dynamical systems, one particular goal is to find and isolate the periodic solutions and the equilibria. They are a subset of the chain-recurrent set of the dynamical system. In recent work, many improvements have been achieved in computing an approximation of a complete Lyapunov function of a given dynamical system and thus to identify the chain-recurrent set. A weak point in this approach, however, has been an over-estimation of the chain-recurrent set. In this work, we introduce a heuristic algorithm that reduces the overestimation in a simple and efficient way. Furthermore, a new and improved grid to evaluate the complete Lyapunov function is introduced to avoid unevaluated regions in the domain of the function.

Original languageEnglish
Title of host publication2019 18th European Control Conference, ECC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1622-1627
Number of pages6
ISBN (Electronic)9783907144008
DOIs
Publication statusPublished - Jun 2019
Event18th European Control Conference, ECC 2019 - Naples, Italy
Duration: 25 Jun 201928 Jun 2019

Publication series

Name2019 18th European Control Conference, ECC 2019

Conference

Conference18th European Control Conference, ECC 2019
Country/TerritoryItaly
CityNaples
Period25/06/1928/06/19

Bibliographical note

Publisher Copyright: © 2019 EUCA.

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