Series expansions of generalized matrix products

Haralambie Leahu, Bernd Heidergott

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

    Abstract

    We consider generalized products of random matrices. They arise in discrete event systems (DES), such as queueing networks or stochastic Petri nets, where they are used to express the state transition dynamic. Instances of such DES are those whose state dynamic can be modelled through a matrix-vector multiplication in conventional, max-plus and min-plus algebra. We will present a Taylor series approach to numerical evaluation of finite horizon performance characteristics of systems modelled by generalized matrix products. The cornerstone of our analysis is the introduction of a differential calculus, based on the concept of weak derivative of a random matrix. We illustrate our results with a couple of numerical computations performed on a classical DES example.

    Original languageEnglish
    Title of host publicationProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
    Pages7793-7798
    Number of pages6
    DOIs
    Publication statusPublished - 1 Dec 2005
    Event44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 - Seville, Spain
    Duration: 12 Dec 200515 Dec 2005

    Publication series

    NameProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
    Volume2005

    Conference

    Conference44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
    Country/TerritorySpain
    CitySeville
    Period12/12/0515/12/05

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