A GSMP (Generalized SemiMarkov Process) Formalism for Discrete-Event Systems

Abstract

This document describes a precise mathematical framework for the study of discrete-event systems. The idea is to define a particular type of stochastic process, called a generalized semi-Markov process, which captures the essential dynamical structure of a discrete-event system. The paper also attempts to give a flavor of the qualitative theory and numerical algorithms that can be obtained as a result of viewing discrete-event systems as GSMP's.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA209264

Entities

People

  • Peter W. Glynn

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Differential Equations
  • Distribution Functions
  • Equations
  • Estimators
  • Markov Chains
  • Markov Processes
  • Military Research
  • Operations Research
  • Probability
  • Probability Distributions
  • Sampling
  • Simulations
  • Steady State
  • Stochastic Processes
  • United States

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Database Systems and Applications
  • Mathematical Modeling and Probability Theory.