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Petri nets are a formal and theoretically rich model for the modelling and analysis of systems. A subclass of Petri nets, augmented marked graphs possess a structure that is especially desirable for the modelling and analysis of systems with concurrent processes and shared resources.
This monograph consists of three parts: Part I provides the conceptual background for readers who have no prior knowledge on Petri nets; Part II elaborates the theory of augmented marked graphs; finally, Part III discusses the application to system integration. The book is suitable as a first self-contained…mehr

Produktbeschreibung
Petri nets are a formal and theoretically rich model for the modelling and analysis of systems. A subclass of Petri nets, augmented marked graphs possess a structure that is especially desirable for the modelling and analysis of systems with concurrent processes and shared resources.

This monograph consists of three parts: Part I provides the conceptual background for readers who have no prior knowledge on Petri nets; Part II elaborates the theory of augmented marked graphs; finally, Part III discusses the application to system integration. The book is suitable as a first self-contained volume on augmented marked graphs, and will be useful to both researchers and practitioners in the fields of Petri nets and system integration.

Autorenporträt
Dr. King Sing Cheung has been the Head of Information Technology at the Open University of Hong Kong since 2010. He holds a PhD in Computer Science from the City University of Hong Kong, and a Master's in Public Administration from the University of Hong Kong. He is a Fellow of the Chartered Management Institute (UK), the Institution of Mathematics and Its Applications (UK), the Institution of Engineering and Technology (UK) and the Hong Kong Institution of Engineers. His main research interests and publications are in the fields of Petri nets and component-based system design.

Rezensionen
From the book reviews:

"It's an adequate book for a graduate course on the modeling and analysis of discrete event systems. Readers do not need a mathematical background. It's not difficult to read because the formal aspects introduced are not very complex and are accompanied by many examples. Furthermore, the theoretical results are applied to real systems, which is very strong motivation for students." (Jose Carlos Moreno Ubeda, Computing Reviews, January, 2015)