A fuzzy model of interval speed continuous Petri nets

Peng Yueying*, Liao Weizhi, Kaoru Hirota

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Interval speed Continuous Petri Nets (ICPN) is a continuous model of time Petri nets. It is shown that the descriptive capability of the proposed Interval speed Continuous Petri Nets (ICPN) Model is stronger than the other ICPN Model. Although the action of the continuous petri nets is non-linear and not easy to combine, fuzzy theory makes it possible to complete the analysis of the proposed ICPN and the task of control design. In order to achieve this goal, a fuzzy model of the ICPN is proposed. It also makes a definition of the fuzzy rule of the ICPN, discusses the fuzzy control of the ICPN, and gives the theorem marked and restrained by the collection house. All these provide some theoretical foundation for the control of fuzzy system on the basis of description of the ICPN. The feasibility of the fuzzy control of the ICPN is also shown.

Original languageEnglish
Title of host publicationProceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007
Pages520-525
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 International Conference on Computational Intelligence and Security, CIS'07 - Harbin, Heilongjiang, China
Duration: 15 Dec 200719 Dec 2007

Publication series

NameProceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007

Conference

Conference2007 International Conference on Computational Intelligence and Security, CIS'07
Country/TerritoryChina
CityHarbin, Heilongjiang
Period15/12/0719/12/07

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