Models of discrete event dynamic systems

Abstract

Many new techniques for modeling discrete event dynamic systems have been developed in recent years; among them are Markov processes and their imbedded Markov chains, Petri nets, queuing networks, automata and finite-state machines, finitely recursive processes, min-max algebra models, and discrete event simulation and generalized semi-Markov processes. The authors demonstrate the main features of these models by applying them to a simple example and briefly compare their features.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>