Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)
DOI: 10.1109/cdc.1999.830136
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Fuzzy control of variable speed continuous Petri nets

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Cited by 15 publications
(6 citation statements)
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“…Fuzzy control (Hennequin et al 1999) The authors showed that the flow of a fluid transition, under infinite server semantics with an implicit self-loop, can be represented as the output of two fuzzy rules under the Sugeno model. It was proved that if the integral of the output of each fuzzy rule converges to a finite value then the resulting global fuzzy system (that represents the controlled flow) converges as well.…”
Section: Control When All the Transitions Are Controllablementioning
confidence: 99%
“…Fuzzy control (Hennequin et al 1999) The authors showed that the flow of a fluid transition, under infinite server semantics with an implicit self-loop, can be represented as the output of two fuzzy rules under the Sugeno model. It was proved that if the integral of the output of each fuzzy rule converges to a finite value then the resulting global fuzzy system (that represents the controlled flow) converges as well.…”
Section: Control When All the Transitions Are Controllablementioning
confidence: 99%
“…Many works can be found in the literature about the control of different classes of timed CPN, e.g., [4][5][6]. For the kind of timed CPN under infinite server semantics, several control approaches have been considered.…”
Section: Related Workmentioning
confidence: 99%
“…Timed continuous Petri nets (TCPNs) are continuous-state systems that have demonstrated to be useful for modelling biological systems (Ross-León, Ramírez-Treviño, Alejandro Morales, & Ruiz-León, 2010), traffic systems (Júlvez & Boel, 2010;Tolba, Lefebvre, Thomas, & El Moudni, 2005), manufacturing systems (Amrah, Zerhouni, & El-Moudni, 1997;Jiménez & Pérez, 2004;Lefebvre, 1999), etc. Furthermore, TCPNs can be seen (as originally introduced) as continuous relaxations of discrete Petri net (PN) models (David & Alla, 1987), defined in order to overcome the state explosion problem in highly populated systems (with many resources, clients, messages, parts, etc., see for instance (David & Alla, 2010;Silva, Júlvez, Mahulea, & Vázquez, 2011;Silva & Recalde, 2004).…”
Section: Introductionmentioning
confidence: 99%