Title :
Making Petri nets adaptive: a critical review
Author :
Asar, Azzam Ul ; Zhou, MengChu ; Caudill, Reggie J.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
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 :
Petri nets; adaptive systems; fuzzy systems; Petri nets; adaptive system; collaborative system; complex concurrent systems; fuzzy system; intelligent system; Adaptive control; Adaptive systems; Artificial neural networks; Biological neural networks; Fuzzy control; Fuzzy logic; Intelligent systems; Knowledge based systems; Petri nets; Programmable control;
Conference_Titel :
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-8812-7
DOI :
10.1109/ICNSC.2005.1461266
