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Identification of industrial automation systems: Building compact and expressive Petri Net models from observable behavior.
- Source :
- 2012 American Control Conference (ACC); 1/ 1/2012, p6095-6101, 7p
- Publication Year :
- 2012
-
Abstract
- The paper deals with black-box identification of industrial automated discrete manufacturing systems. The problem of obtaining Petri net (PN) models from the observable behavior, expressed as a sequence of input-output vectors, is addressed. First the problem is stated: important issues to handle in systems automated by Programmable Logic Controllers that cannot be dealt by other methods are detailed. Then a novel method is presented; it focuses on building a compact and expressive representation of the observable part of the model which allows consequently the construction of a reduced complete Interpreted PN describing both observable and unobservable behavior. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISBNs :
- 9781457710957
- Database :
- Complementary Index
- Journal :
- 2012 American Control Conference (ACC)
- Publication Type :
- Conference
- Accession number :
- 86522339
- Full Text :
- https://doi.org/10.1109/acc.2012.6315237