Abstract
This paper addresses state estimation of discrete event systems (DES) modeled by fuzzy timed Petri nets (FTPN). A definition of FTPN in which fuzzy sets, associated to places, represent the ending time uncertainty of activities is presented; then the fuzzy state equation composed by a set of matrix expressions is developed, allowing computing the marking evolution of DES exhibiting cyclic behavior. Results focusing on marked graphs are discussed and illustrated through an academic example.
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