System identification of discrete event systems
Sheng‐Luen Chung, Jun‐Chin Wu, Chung‐Lun Li · Journal of the Chinese Institute of Engineers · 2004
System identification (SI) for discrete event systems (DES) addresses the issue of identifying system dynamics from externally observed sample paths. To that end, we propose a new mathematical framework in the context of a Mealy machine and language theory. Without any a priori modeling information regarding the identification target, the objective of SI is to derive minimal valid automata that duplicate the input‐output relation in the observed sample paths, while ensuring minimal realization. An algorithm to compute minimal valid automata and special properties regarding SI are explained with illustrative examples.