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Supervisory Control of Discrete Event Systems Using Petri Nets, John O. Moody; Panos J. Antsaklis


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Автор: John O. Moody; Panos J. Antsaklis
Название:  Supervisory Control of Discrete Event Systems Using Petri Nets
ISBN: 9781461376156
Издательство: Springer
Классификация:





ISBN-10: 1461376157
Обложка/Формат: Soft cover
Страницы: 187
Вес: 0.33 кг.
Дата издания: 12.10.2012
Серия: The International Series on Discrete Event Dynamic Systems
Язык: English
Издание: Softcover reprint of
Иллюстрации: Xvii, 187 p.
Размер: 234 x 156 x 11
Читательская аудитория: Professional & vocational
Основная тема: Manufacturing, Machines, Tools
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Supervisory Control of Discrete Event Systems Using Petri Nets is intended for graduate students, advanced undergraduates, and practicing engineers who are interested in the control problems of manufacturing, communication and computer networks, chemical process plants, and other high-level control applications.


Systems Dependability Assessment: Benefits of Petri Net Models

Автор: Jean-Fran?§ois Aubry, Nicolae Brinzei, Mohammed-Habib Mazouni
Название: Systems Dependability Assessment: Benefits of Petri Net Models
ISBN: 1848219911 ISBN-13(EAN): 9781848219915
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

Petri Nets were defined for the study of discrete events systems and later extended for many purposes including dependability assessment. In our knowledge, no book deals specifically with the use of different type of PN to dependability. We propose in addition to bring a focus on the adequacy of Petri net types to the study of various problems related to dependability such as risk analysis and probabilistic assessment.

In the first part, the basic models of PN and some useful extensions are briefly recalled. In the second part, the PN are used as a formal model to describe the evolution process of critical system in the frame of an ontological approach. The third part focuses on the stochastic Petri Nets (SPN) and their use in dependability assessment. Different formal models of SPN are formally presented (semantics, evolution rules...) and their equivalence with the corresponding class of Markov processes to get an analytical assessment of dependability. Simplification methods are proposed in order to reduce the size of analytical model and to make it more calculable. The introduction of some concepts specific to high level PN allows too the consideration of complex systems. Few applications in the field of the instrumentation and control (l&C) systems, safety integrated systems (SIS) emphasize the benefits of SPN for dependability assessment.


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