Extended Kronecker summation for determining the kernel and offspring of LTI systems with multiple delays

Ali Fuat Ergenc*, Nejat Olgac

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

A new concept is presented for determining the kernel and the offspring hypersurfaces for general LTI dynamics with multiple delays. These hypersurfaces, as they are very recently introduced in a concept paper (Sipahi and Olgac 2005), form the basis of the overriding paradigm which is called the "Cluster Treatment of Characteristic Roots (CTCR)". In fact, these two sets of hypersurfaces exhaustively represent the locations in the domain of the delays where the system possesses at least one pair of imaginary characteristic roots. To determine these kernel and offspring we use the extraordinary features of "Extended Kronecker Summation" operation in this paper. The end result is that the infinite dimensional problem reduces to a finite dimensional one (and preferably into an eigenvalue problem). Following the procedure described in this paper we are able to shorten the computational time considerably in determining these hypersurfaces. We demonstrate these concepts via some example case studies.

Original languageEnglish
Title of host publication6th IFAC Workshop on Time Delay Systems, TDS 2006
PublisherIFAC Secretariat
Pages157-162
Number of pages6
EditionPART 1
ISBN (Print)9783902661111
DOIs
Publication statusPublished - 2006
Externally publishedYes

Publication series

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

Funding

This research has been supported in part by the awards from DoE (DE-FG02-04ER25656) and NSF (CMS-0439980 and DMI-0522910).

FundersFunder number
National Science FoundationCMS-0439980, DMI-0522910

    Keywords

    • Kronecker sum
    • Stability
    • Time-delay system

    Fingerprint

    Dive into the research topics of 'Extended Kronecker summation for determining the kernel and offspring of LTI systems with multiple delays'. Together they form a unique fingerprint.

    Cite this