Abstract
This paper presents Petri Net (PN) models conceived to be employed with
the Supervisory Control Theory (SCT). The SCT deals with the supervisory
synthesis problem. In this paper, the supervisor synthesis is obtained
by processing both the system and specification models through two
algorithms, MRTA and ACGS respectively. These algorithms make possible
to obtain the supervisor of a discrete event system (DES), modeled by a
Petri Net with Neural Network Transition Enabling Function (PNTEF),
based on a given specification. A supervisor of a manufacturing cell
example is presented. Copyright (C) 1998 IFAC.
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