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Introduction to Discrete Event Systems by Christos G. Cassandras, Stephane Lafortune

Introduction to Discrete Event Systems Christos G. Cassandras, Stephane Lafortune ebook
Publisher: Springer
Page: 781
ISBN: 0387333320, 9780387333328
Format: djvu

Replicating this behavior with process flow models in a discrete event simulation model is highly complex and therefore difficult to create while maintaining a high degree of precision. To extend control theory of discrete event systems (DESs) expressed by finite automata [1] to that of infinite-state DESs is one of the challenging topics. For performance evaluation of timed discrete event systems,. Where it is infeasible to store the entire model. Language: English Released: 2007. We introduce an architecture for steering and also describe different steering paradigms. Discrete Event Systems: Analysis and Control by R. Neural Networks for Modelling and Control of Dynamic Systems. In this paper, we explore a control-theoretic view of steering for discrete event systems. Cassandras, Stephane Lafortune Type: eBook. Publisher: Springer Page Count: 781. A framework is thus introduced which delivers an algorithm that allows to implement Multiple Participant Pathway Modeling (MPPM) under the consideration of Flexible Resource Allocation (FRA). This framework is applied on an Irish Emergency Department (ED), the outcome of which is presented here. IRMA-International.org: Handbook of Research on Discrete Event. GO Introduction to Discrete Event Systems Author: Christos G. INTRODUCTION: When simulation is the appropriate tool and when it is not appropriate; Advantages and disadvantages of Simulation; Areas of application; Systems and system environment; Components of a system; Discrete and continuous systems; Model of a GENERAL PRINCIPLES, SIMULATION SOFTWARE: Concepts in Discrete-Event Simulation: The Event-Scheduling / Time-Advance Algorithm, World Views, Manual simulation Using Event Scheduling; List processing. With Petri Nets and Other Tools; Modeling and.