Stochastic Discrete Event Systems Modélisation, évaluation, applications

  • en
  • Couverture rigide
  • 9783540741725
  • 02 octobre 2007
  • 392 pages
Toutes les spécifications de l'article

Résumé

Delivers comprehensive overview on modeling with a quantitative evaluation of SDES. This title presents important model classes like queuing networks, Petri nets and automata. It summarizes the body of knowledge for modeling and evaluating SDES, while bringing it to an abstraction level with the introduction of a unifying framework.

The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point for the evaluation of quantitative issues like performance and dependability is a formal description of the system of interest in a model.

Armin Zimmermann delivers a coherent and comprehensive overview on modeling with and quantitative evaluation of SDES. An abstract model class for SDES is presented as a pivotal unifying result. Several important model classes, including queuing networks, Petri nets and automata, are detailed together with their formal translation into this abstract model class. Standard and recently developed algorithms for the performance evaluation, optimization and control of SDES are presented in the context of the abstract model class. The necessary software tool support is also covered. The book is completed with nontrivial examples from areas like manufacturing control, performance of communication systems, and supply-chain management, highlighting the application of the techniques presented.

For researchers and graduate students this monograph summarizes the body of knowledge for modeling and evaluating SDES, while bringing it to a new abstraction level with the introduction of a new and unifying framework. In addition, the extensive reference list is an excellent starting point for further detailed reading and research.



Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.

Spécifications produit

Contenu

Langue
en
Binding
Couverture rigide
Date de sortie initiale
02 octobre 2007
Nombre de pages
392
Illustrations
Non

Personnes impliquées

Auteur principal
Armin Zimmermann

Autres spécifications

Hauteur de l'emballage
25 mm
Hauteur du produit
25 mm
Largeur d'emballage
159 mm
Largeur du produit
159 mm
Livre d‘étude
Oui
Longueur d'emballage
241 mm
Longueur du produit
241 mm
Poids de l'emballage
717 g
Police de caractères extra large
Non
Édition
2008 éd.

EAN

EAN
9783540741725

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