Finite-time Attractive Ellipsoid Method using Implicit Lyapunov Functions

Manuel Mera, Andrey Polyakov, Wilfrid Perruquetti, Gang Zheng

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

5 Scopus citations

Abstract

A finite-time version, based on Implicit Lyapunov Functions (ILF), for the Attractive Ellipsoid Method (AEM) is developed. Based on this, a robust control scheme is presented to ensure finite-time convergence of the solutions of a chain of integrators with bounded output perturbations to a minimal ellipsoidal set. The control parameters are obtained by solving a minimization problem of the size of the ellipsoid subject to a set of Linear Matrix Inequalities (LMI's) constraints, and by applying the implicit function theorem. A numerical example is presented to support the implementability of these theoretical results.

Original languageEnglish
Title of host publication54rd IEEE Conference on Decision and Control,CDC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6892-6896
Number of pages5
ISBN (Electronic)9781479978861
DOIs
StatePublished - 8 Feb 2015
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: 15 Dec 201518 Dec 2015

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume54rd IEEE Conference on Decision and Control,CDC 2015
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference54th IEEE Conference on Decision and Control, CDC 2015
Country/TerritoryJapan
CityOsaka
Period15/12/1518/12/15

Keywords

  • Convergence
  • Ellipsoids
  • Estimation
  • Linear matrix inequalities
  • Lyapunov methods
  • Minimization
  • Yttrium

Fingerprint

Dive into the research topics of 'Finite-time Attractive Ellipsoid Method using Implicit Lyapunov Functions'. Together they form a unique fingerprint.

Cite this