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

Yoshio Sugasawa; Jin Qun Jin; Koichiro Seya

doi:10.1016/0898-1221(92)90236-B

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

Yoshio Sugasawa^*, Jin Qun Jin, Koichiro Seya

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	119-126
Number of pages	8
Journal	Computers and Mathematics with Applications
Volume	24
Issue number	1-2
DOIs	https://doi.org/10.1016/0898-1221(92)90236-B
Publication status	Published - 1992 Jul
Externally published	Yes

ASJC Scopus subject areas

Modelling and Simulation
Computational Theory and Mathematics
Computational Mathematics

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10.1016/0898-1221(92)90236-B

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title = "Extended stochastic Petri Net models for systems with parallel and cooperative motions",

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.",

author = "Yoshio Sugasawa and {Qun Jin}, Jin and Koichiro Seya",

year = "1992",

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AU - Sugasawa, Yoshio

AU - Qun Jin, Jin

AU - Seya, Koichiro

PY - 1992/7

Y1 - 1992/7

N2 - 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.

AB - 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.

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JO - Computers and Mathematics with Applications

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IS - 1-2

ER -

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

Abstract

ASJC Scopus subject areas

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