nach der Bestellung gedruckt Neuware - Printed after ordering - Real-Time Simulation Technologies: Principles, Methodologies, and Applications is an edited compilation of work that explores fundamental concepts and basic techniques of real-time simulation for complex and diverse systems across a broad spectrum. Useful for both new entrants and experienced experts in the field, this book integrates coverage of detailed theory, acclaimed methodological approaches, entrenched technologies, and high-value applications of real-time simulation-all from the unique perspectives of renowned international contributors.Because it offers an accurate and otherwise unattainable assessment of how a system will behave over a particular time frame, real-time simulation is increasingly critical to the optimization of dynamic processes and adaptive systems in a variety of enterprises. These range in scope from the maintenance of the national power grid, to space exploration, to the development of virtual reality programs and cyber-physical systems. This book outlines how, for these and other undertakings, engineers must assimilate real-time data with computational tools for rapid decision making under uncertainty.Clarifying the central concepts behind real-time simulation tools and techniques, this one-of-a-kind resource:Discusses the state of the art, important challenges, and high-impact developments in simulation technologiesProvides a basis for the study of real-time simulation as a fundamental and foundational technologyHelps readers develop and refine principles that are applicable across a wide variety of application domainsAs science moves toward more advanced technologies, unconventional design approaches, and unproven regions of the design space, simulation tools are increasingly critical to successful design and operation of technical systems in a growing number of application domains. This must-have resource presents detailed coverage of real-time simulation for system design, parallel and distributed simulations, industry tools, and a large set of applications.

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Detalles bibliogr�ficos

T�tulo: Real-Time Simulation Technologies : Principles, Methodologies, and Applications
Editor: CRC Press
Fecha de publicaci�n: 2017
Idioma: Ingl�s
ISBN 10: 1138077550
ISBN 13: 9781138077553
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 234�mil�metros de ancho por 156 de alto por 35 de largo
Peso: 989 gramos

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Sinopsis

Presenting a collection of cutting-edge real-time techniques, tools, and applications for various engineering fields, this reference helps readers develop a thorough understanding of the theory and practical aspects of real-time simulation. It introduces cutting-edge industrial and academic simulation tools and examines a variety of distributed and interactive real-time simulation methods. Content is divided into four sections: basic simulation technologies and fundamentals, real-time simulation for system design, parallel and distributed real-time simulation, and tools and applications. This material covers a wide range of diverse application domains, including control, aerospace, automotive, hydraulics, military, and training.

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Katalin Popovici received her engineer degree in computer science from the University of Oradea, Romania, in 2004 and her Ph.D in micro- and nanoelectronics from Grenoble Institute of Technology, France, in 2008. Between 2005 and 2008, she was a member of the SHAPES (Scalable Software Hardware Computing Architecture Platform for Embedded Systems) European research project, where she worked on hardware–software co-design. Currently, she is a senior software engineer at MathWorks in Natick, Massachusetts, where she works on partitioning and mapping capabilities from Simulink� models to embedded and real-time systems, with focus on code generation for multicore and heterogeneous architectures.

Pieter J. Mosterman is a senior research scientist at MathWorks in Natick, Massachusetts, where he works on design automation technologies. He also holds an adjunct professor position in the School of Computer Science at McGill University. Prior to this, he was a research associate at the German Aerospace Center (DLR) in Oberpfaffenhofen. He received his Ph.D in electrical and computer engineering from Vanderbilt University in Nashville, Tennessee, and his MSc in electrical engineering from the University of Twente, The Netherlands. His primary research interests include computer automated multiparadigm modeling with principal applications in design automation, training systems, and fault detection, isolation, and reconfiguration.

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