Extended Stochastic Petri Nets: Applications and Analysis.

Abstract

An Extended Stochastic Petri Net (ESPN) model, useful for modeling systems which exhibit concurrent, asynchronous, or nondeterministic behavior is developed. Applications demonstrating the flexibility of the model for a variety of system modeling applications are presented. Analytic techniques for the representation of a class of ESPNs as Markov or semi-Markov processes are discussed, as is the simulation of more general models. Finally, DEEP (the Duke ESPN Evaluation Package) is previewed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1984
Accession Number
ADA148439

Entities

People

  • J. B. Dugan
  • K. S. Trivedi
  • R. M. Geist
  • V. F. Nicola

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Automatic
  • Availability
  • Classification
  • Computer Science
  • Electrical Engineering
  • Engineering
  • Information Science
  • Markov Chains
  • Markov Processes
  • Petri Nets
  • Probability
  • Probability Distributions
  • Resilience
  • Simulations
  • Test And Evaluation

Readers

  • Information Retrieval
  • Mathematical Modeling and Probability Theory.
  • Military History of the United States in the 20th Century.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks