6533b7d1fe1ef96bd125c0f7

RESEARCH PRODUCT

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

Hamid Reza Karimi

subject

Lyapunov functionsymbols.namesakeMathematical optimizationActuarial scienceDependency (UML)Scale (ratio)Observer (quantum physics)Convex optimizationsymbolsParameterized complexityBusinessExpression (mathematics)Exponential function

description

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.

yearjournalcountryeditionlanguage
2013-01-01
https://doi.org/10.1007/978-3-642-35966-8_29