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An LMI Approach to Exponential Stock Level Estimation for Large-Scale Logistics Networks

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Dynamics in Logistics

Part of the book series: Lecture Notes in Logistics ((LNLO))

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Abstract

This article aims to present a convex optimization approach for exponential stock level estimation problem of large-scale logistics networks. The model under consideration presents the dependency and interconnections between the dynamics of each single location. Using a Lyapunov function, new sufficient conditions for exponential estimation of the networks are driven in terms of linear matrix inequalities (LMIs). The explicit expression of the observer gain is parameterized based on the solvability conditions. A numerical example is included to illustrate the applicability of the proposed design method.

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Author information

Authors and Affiliations

  1. Department of Engineering, Faculty of Engineering and Science, University of Agder, Grimstad, Norway

    Hamid Reza Karimi

Authors
  1. Hamid Reza Karimi
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Corresponding author

Correspondence to Hamid Reza Karimi .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, University of Bremen, Linzer Straße 9a, Bremen, 28359, Germany

    Hans-Jörg Kreowski

  2. Rector of the University of Bremen, Hochschulring 20, Bremen, 28359, Germany

    Bernd Scholz-Reiter

  3. Logistik (BIBA), Planung und Steuerung, Bremer Institut für Produktion und, Hochschulring 20, Bremen, 28359, Germany

    Klaus-Dieter Thoben

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Karimi, H.R. (2013). An LMI Approach to Exponential Stock Level Estimation for Large-Scale Logistics Networks. In: Kreowski, HJ., Scholz-Reiter, B., Thoben, KD. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35966-8_29

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  • DOI: https://doi.org/10.1007/978-3-642-35966-8_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35965-1

  • Online ISBN: 978-3-642-35966-8

  • eBook Packages: EngineeringEngineering (R0)

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