2018
DOI: 10.1007/978-3-319-75396-6_11
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Overview of Reconfigurable Petri Nets

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Cited by 22 publications
(14 citation statements)
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“…Moreover, new extensions of this formalism were introduced to distinguish concurrent and dynamic systems by suggesting various enhancements of the basic Petri net model (Llorens & Oliver, 2004b;Badouel et al, 2003). In this context, Padberg and Kahloul (2018) classified reconfigurable Petri nets into three types: reconfigurable low-level nets, reconfigurable stochastic nets, and reconfigurable high-level nets. In addition, it is argued in the literature that various reconfigurable Petri nets approaches can be classified into three principal classes: rewriting net systems-based approaches, graph transformation-based approaches, and hybrid approaches.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Moreover, new extensions of this formalism were introduced to distinguish concurrent and dynamic systems by suggesting various enhancements of the basic Petri net model (Llorens & Oliver, 2004b;Badouel et al, 2003). In this context, Padberg and Kahloul (2018) classified reconfigurable Petri nets into three types: reconfigurable low-level nets, reconfigurable stochastic nets, and reconfigurable high-level nets. In addition, it is argued in the literature that various reconfigurable Petri nets approaches can be classified into three principal classes: rewriting net systems-based approaches, graph transformation-based approaches, and hybrid approaches.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Recongurability using rewriting rules has also been studied for Petri nets (see [23] for an overview). In the general case, recongurable Petri nets do not preserve properties such as liveness, boundedness, or reversibility.…”
Section: Related Workmentioning
confidence: 99%
“…It is generally accepted that (classical) PN are instances of GTS, due to the lack of ability to adapt/reconfigure their structure. Some PN extensions have been thus equipped with dynamical reconfiguration capabilities (a survey may be found in [13]), which, however, almost always build on concepts typical of Graph Transformation Rules.…”
Section: Introduction and Related Workmentioning
confidence: 99%