Making Petri nets adaptive: A critical review

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

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations


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 languageEnglish (US)
Number of pages6
StatePublished - 2005
Event2005 IEEE Networking, Sensing and Control, ICNSC2005 - Tucson, AZ, United States
Duration: Mar 19 2005Mar 22 2005


Other2005 IEEE Networking, Sensing and Control, ICNSC2005
Country/TerritoryUnited States
CityTucson, AZ

All Science Journal Classification (ASJC) codes

  • General Engineering


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


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