Parameter-Space Stability Analysis of LTI Time-Delay Systems with Parametric Uncertainties

Thomas Schauss, Angelika Peer, Martin Buss

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A novel approach to stability analysis of linear time-invariant (LTI) time-delay systems of retarded type with incommensurate time delays and polynomial dependence on parametric uncertainties is presented. Using a branch and bound algorithm, which relies on Taylor models and polynomials in Bernstein form, we first determine the stability-crossing set in the delay/parameter space and then evaluate stability for each disjoint region. The novel approach can be used to either nonconservatively check stability of time-delay systems with interval parameters or to map stable regions to a low-dimensional parameter space while taking additional interval parameters into account. The algorithm is applied to several examples with parametric uncertainties and/or incommensurate time delays.

Original languageEnglish
Article number8295108
Pages (from-to)3927-3934
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume63
Issue number11
DOIs
StatePublished - Nov 2018

Keywords

  • Bernstein polynomials
  • Taylor models
  • delay-dependent
  • incommensurate
  • parametric uncertainty
  • robust stability
  • stability analysis
  • time delay

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