Evaluation of lyapunov function candidates through averaging iterations

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

Abstract

A complete Lyapunov function determines the behaviour of a dynamical system. In particular, it splits the phase space into the chain-recurrent set, where solutions show (almost) repetitive behaviour, and the part exhibiting gradient-like flow where the dynamics are transient. Moreover, it reveals the stability of sets and basins of attraction through its sublevel sets. In this paper, we combine two previous methods to compute complete Lyapunov functions: we employ quadratic optimization with equality and inequality constraints to compute a complete Lyapunov function candidate and we evaluate its quality by using a method that improves approximations of complete Lyapunov function candidates through iterations.

Original languageEnglish
Title of host publicationICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics
EditorsOleg Gusikhin, Kurosh Madani, Janan Zaytoon
PublisherSciTePress
Pages734-744
Number of pages11
ISBN (Electronic)9789897584428
Publication statusPublished - 2020
Event17th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2020 - Virtual, Online, France
Duration: 7 Jul 20209 Jul 2020

Publication series

NameICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics

Conference

Conference17th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2020
Country/TerritoryFrance
CityVirtual, Online
Period7/07/209/07/20

Bibliographical note

Publisher Copyright: Copyright © 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

Other keywords

  • Chain-recurrent set
  • Complete lyapunov functions
  • Dynamical systems
  • Iterative methods
  • Numerical methods

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