Extended stochastic Petri Net models for systems with parallel and cooperative motions

Yoshio Sugasawa, Qun Jin, Koichiro Seya

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Stochastic Petri Nets have been developed to model and analyze systems involving concurrent activities with the time associated is exponentialy distributed. In this paper, we present an Extended Stochastic Petri Net that allows the firing times of its transitions to non-exponential distributions. We use it to model and analyze a multi-robot system with parallel and cooperative motions in the context of a generalized Markov Renewal Process. The modeling flexibility of Petri Net and the analyzing power of Markov Renewal Process are fully exploited.

Original languageEnglish
Pages (from-to)119-126
Number of pages8
JournalComputers and Mathematics with Applications
Volume24
Issue number1-2
DOIs
Publication statusPublished - 1992
Externally publishedYes

Fingerprint

Markov Renewal Process
Stochastic Petri Nets
Petri nets
Multi-robot Systems
Markov processes
Motion
Concurrent Systems
Petri Nets
Flexibility
Modeling
Model
Robots
Context

ASJC Scopus subject areas

  • Applied Mathematics
  • Computational Mathematics
  • Modelling and Simulation

Cite this

Extended stochastic Petri Net models for systems with parallel and cooperative motions. / Sugasawa, Yoshio; Jin, Qun; Seya, Koichiro.

In: Computers and Mathematics with Applications, Vol. 24, No. 1-2, 1992, p. 119-126.

Research output: Contribution to journalArticle

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