Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations - Hardcover

Zeigler, Bernard P.; Praehofer, Herbert; Kim, Tag Gon

Hardcover

ISBN 10: 0127784551 ISBN 13: 9780127784557

Publisher: Academic Press, 2000

Synopsis

The increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have given engineers the capability of designing highly complex systems and computer architectures that were previously unthinkable. Every complex design project, from integrated circuits, to aerospace vehicles, to industrial manufacturing processes requires these new methods. This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation. This book, written as a true text/reference has become a standard sr./graduate level course in all EE departments worldwide and all professionals in this area are required to update their skills. The book provides a rigorous mathematical foundation for modeling and computer simulation. It provides a comprehensive framework for modeling and simulation integrating the various simulation approaches. It covers model formulation, simulation model execution, and the model building process with its key activities model abstraction and model simplification, as well as the organization of model libraries. Emphasis of the book is in particular in integrating discrete event and continuous modeling approaches as well as a new approach for discrete event simulation of continuous processes. The book also discusses simulation execution on parallel and distributed machines and concepts for simulation model realization based on the High Level Architecture (HLA) standard of the Department of Defense. It presents a working foundation necessary for compliance with High Level Architecture (HLA) standards. It provides a comprehensive framework for continuous and discrete event modeling and simulation. It explores the mathematical foundation of simulation modeling. It discusses system morphisms for model abstraction and simplification. It presents a new approach to discrete event simulation of continuou

About this title

Review

From Book News, Inc.
In addition to students of general and mathematical systems theory or of computer and information sciences, Zeigler (electrical and computer engineering, U. of Arizona) argues that students of any science and of business also benefit from knowing the theory of modeling. For students with a solid background in mathematics at the graduate or senior undergraduate level, he constructs a framework in which the concepts can be sketched in abstract forms and embodied in concrete modeling situations to further illuminate them. The first edition was published by Wiley Interscience in 1976; the second has been almost totally rewritten, for which task Zeigler has conscripted Herbert Praehoffer (systems science, Johannes Kepler U., Linz, Austria) and Tag Gon Kim (electrical engineering, Korea Advanced Institute of Science and Technology, Taejon).Book News, Inc.®, Portland, OR

From the Back Cover

Although twenty-five years have passed since the first edition of this classical text, the world has seen many advances in modeling and simulation, the need for a widely accepted framework and theoretical foundation is even more necessary today. Methods of modeling and simulation are fragmented across disciplines making it difficult to re-use ideas from other disciplines and work collaboratively in multidisciplinary teams. Model building and simulation has been made easier and faster by riding piggyback on advances in software and hardware. However, difficult and fundamental issues such as model credibility and interoperation have received less attention. These issues are now front and center under the impetus of the High Level Architecture (HLA) standard mandated by the U.S. DoD for all contractors and agencies.

This book concentrates on integrating the continuous and discrete paradigms for modeling and simulation. A second major theme is that of distributed simulation and its potential to support the co-existence of multiple formalisms in multiple model components. Prominent throughout are the fundamental concepts of modular and hierarchical model composition. These key ideas underly a sound methodology for construction of complex system models.

This edition presents a rigorous mathematical foundation for modeling and simulation. Also, it now provides a comprehensive framework for integrating the various simulation approaches employed in practice. Including such popular modeling methods as cellular automata, chaotic systems, hierarchical block diagrams, and Petri nets. A unifying concept, called the DEVS Bus, enables models, as expressed in their native formalisms, to be transparently mapped into the Discrete Event System Specification (DEVS). The book shows how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments. If you are doing integrative simulations, whether or not they are HLA compliant, this is the only book available to provide the foundation to understand, simplify and successfully accomplish your task.

Edition details

• Publisher: Academic Press
• Publication date: 2000
• ISBN 10: 0127784551
• ISBN 13: 9780127784557
• Binding: Hardcover
• Language: English
• Edition number: 2
• Number of pages: 536