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

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

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.

Keywords

Stability analysis Logistics networks Estimation LMI 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Engineering, Faculty of Engineering and ScienceUniversity of AgderGrimstadNorway

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