Making Petri nets adaptive: A critical review

Azzam Ul Asar; Meng Chu Zhou; Reggie J. Caudill

doi:10.1109/ICNSC.2005.1461266

Making Petri nets adaptive: A critical review

Azzam Ul Asar, Meng Chu Zhou, Reggie J. Caudill

Research output: Contribution to conference › Paper › peer-review

8 Scopus citations

Abstract

Petri nets are considered as an effective tool to model and analyze the behavior of complex concurrent systems. There is growing interest in the research community to capture the dynamic behavior of real world systems with adaptive features. Their Petri net models are developed to have advanced learning and reasoning capabilities. This paper examines the progress in this field highlighting the efforts focusing on methodologies framed in the adaptive context.

Original language	English (US)
Pages	644-649
Number of pages	6
DOIs	https://doi.org/10.1109/ICNSC.2005.1461266
State	Published - 2005
Event	2005 IEEE Networking, Sensing and Control, ICNSC2005 - Tucson, AZ, United States Duration: Mar 19 2005 → Mar 22 2005

Other

Other	2005 IEEE Networking, Sensing and Control, ICNSC2005
Country/Territory	United States
City	Tucson, AZ
Period	3/19/05 → 3/22/05

All Science Journal Classification (ASJC) codes

General Engineering

Keywords

Adaptive System
Fuzzy and neural systems
Intelligent and collaborative systems
Petri net

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10.1109/ICNSC.2005.1461266

Cite this

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title = "Making Petri nets adaptive: A critical review",

abstract = "Petri nets are considered as an effective tool to model and analyze the behavior of complex concurrent systems. There is growing interest in the research community to capture the dynamic behavior of real world systems with adaptive features. Their Petri net models are developed to have advanced learning and reasoning capabilities. This paper examines the progress in this field highlighting the efforts focusing on methodologies framed in the adaptive context.",

keywords = "Adaptive System, Fuzzy and neural systems, Intelligent and collaborative systems, Petri net",

author = "{Ul Asar}, Azzam and Zhou, {Meng Chu} and Caudill, {Reggie J.}",

year = "2005",

doi = "10.1109/ICNSC.2005.1461266",

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AU - Zhou, Meng Chu

AU - Caudill, Reggie J.

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AB - Petri nets are considered as an effective tool to model and analyze the behavior of complex concurrent systems. There is growing interest in the research community to capture the dynamic behavior of real world systems with adaptive features. Their Petri net models are developed to have advanced learning and reasoning capabilities. This paper examines the progress in this field highlighting the efforts focusing on methodologies framed in the adaptive context.

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KW - Fuzzy and neural systems

KW - Intelligent and collaborative systems

KW - Petri net

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Making Petri nets adaptive: A critical review

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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