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Titlebook: Max-Plus Linear Stochastic Systems and Perturbation Analysis; Bernd Heidergott Book 2007 Springer-Verlag US 2007 DES.Lyapunov.Taylor serie

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书目名称Max-Plus Linear Stochastic Systems and Perturbation Analysis
编辑Bernd Heidergott
视频video
概述Contains the most recent research results on stochastic max-plus systems.No other book attempts to address the interplay between perturbation analysis and max-plus systems.Includes supplementary mater
丛书名称The International Series on Discrete Event Dynamic Systems
图书封面Titlebook: Max-Plus Linear Stochastic Systems and Perturbation Analysis;  Bernd Heidergott Book 2007 Springer-Verlag US 2007 DES.Lyapunov.Taylor serie
描述.During the last decade, the area of stochastic max-plus linear systems has witnessed a rapid development, which created a growing interest in this area. This book provides a thorough treatment of the theory of stochastic max-plus linear systems. Max-plus algebra is an algebraic approach to discrete event systems (DES), like queuing networks that are prone to synchronization. Perturbation analysis studies the sensitivity of the performance of DES with respect to changes in a particular system parameter...The first part of the book addresses modeling issues and stability theory for stochastic max-plus systems. The second part of the book treats perturbation analysis of max-plus systems: a calculus for differentiation of max-plus systems is developed. This calculus leads to numerical evaluations of performance indices of max-plus linear stochastic systems, such as the Lyapunov exponent or waiting times..
出版日期Book 2007
关键词DES; Lyapunov; Taylor series expansions; calculus; deterministic max-plus limit theory; max-plus algebra;
版次1
doihttps://doi.org/10.1007/978-0-387-38995-0
isbn_softcover978-1-4419-4198-5
isbn_ebook978-0-387-38995-0Series ISSN 1388-4328
issn_series 1388-4328
copyrightSpringer-Verlag US 2007
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https://doi.org/10.1007/978-0-387-38995-0DES; Lyapunov; Taylor series expansions; calculus; deterministic max-plus limit theory; max-plus algebra;
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on equations in two dimensions when the number of interpolation points, . say, is very large. It has provided some techniques that will be surveyed because they allow values of . up to 10., even when the positions of the points are general. A close relation between these techniques and Newton’s inte
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