A convex optimization approach to stability of systems with uncertain delays

Emilia Fridman*, Uri Shaked, Kun Liu

*Corresponding author for this work

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

Abstract

In this paper we develop a convex optimization approach to stability analysis of linear systems with interval time-varying delay, by using the standard and the delay-partitioning-based Lyapunov-Krasovskii Functionals (LKFs). We introduce novel LKFs with matrices that depend on the time-delays. These functionals allow the derivation of the condition for stability, which depend on both, the upper and the lower bounds on delay derivatives. A numerical example is given which illustrates the efficiency of the new stability criteria.

Original languageEnglish
Title of host publicationROCOND'09 - 6th IFAC Symposium on Robust Control Design, Proceedings
Pages208-213
Number of pages6
EditionPART 1
DOIs
StatePublished - 2009
Event6th IFAC Symposium on Robust Control Design, ROCOND'09 - Haifa, Israel
Duration: 16 Jun 200918 Jun 2009

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume6
ISSN (Print)1474-6670

Conference

Conference6th IFAC Symposium on Robust Control Design, ROCOND'09
Country/TerritoryIsrael
CityHaifa
Period16/06/0918/06/09

Keywords

  • LMI
  • Lyapunov-Krasovskii functional
  • Time-varying delay

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