Abstract
This paper addresses state estimation of discrete event systems (DES) using a fuzzy reasoning approach; a method for approximating the current state of DES with uncertainty in the duration of activities is presented. The proposed method is based on a DES specification given as a fuzzy timed Petri net in which fuzzy sets are associated to places; a technique for the recursive computing of imprecise markings is given, then the conversion to discrete marking is presented.
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González-Castolo, J.C., López-Mellado, E. (2006). Fuzzy State Estimation of Discrete Event Systems. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_9
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DOI: https://doi.org/10.1007/11925231_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49026-5
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