马尔可夫调制过程的Erlangization、me化和拉普拉斯逆变换的瞬态分析

Pub Date : 2022-06-07 DOI:10.1080/15326349.2022.2081206
M. Telek
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引用次数: 1

摘要

摘要本文研究了连续时间马尔可夫链(CTMC)和马尔可夫流体模型(MFM)的基于随机时钟和基于数值拉普拉斯逆变换的瞬态分析之间的关系,并证明了这两种方法是相同的。这种身份导致了对分析方法的新的直观理解。
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Transient analysis of Markov modulated processes with Erlangization, ME-fication and inverse Laplace transformation
Abstract The paper investigates the relation of random clock based and numerical inverse Laplace transformation based transient analysis of Continuous time Markov chains (CTMCs) and Markov fluid models (MFMs) and proves that these methods are identical. This identity leads to new intuitive understanding about the analysis approaches.
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