Real-Time Simulation Technologies: Principles, Methodologies, and Applications

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Katalin Popovici, Pieter J. Mosterman
CRC Press, Apr 19, 2016 - Technology & Engineering - 660 pages
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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 technologies
  • Provides a basis for the study of real-time simulation as a fundamental and foundational technology
  • Helps readers develop and refine principles that are applicable across a wide variety of application domains

As 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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Contents

Formalized Approach for the Design of RealTime Distributed Computer Systems
35
Principles of DEVS Model Verification for RealTime Embedded Applications
63
Optimizing Discrete Modeling and Simulation for RealTime Constraints with Metaprogramming
97
Modeling with UML and Its RealTime Profiles
123
Modeling and Simulation of Timing Behavior with the Timing Definition Language
159
Chapter 7
181
Validator Tool Suite Filling the Gap between Conventional Software intheLoop and HardwareintheLoop Simulation Environments
199
Modern Methodology of Electric System Design Using RapidControl Prototyping and HardwareintheLoop
219
System Approach to Simulations for Training Instruction Technology and Process Engineering
371
Concurrent Simulation for Online Optimization of Discrete Event Systems
389
Toward Accurate Simulation of LargeScale Systems via Time Dilation
419
Simulation for Operator Training in Production Machinery
439
RealTime Simulation Platform for Controller Design Test and Redesign
461
Automotive RealTime Simulation Modeling and Applications
501
Specification and Simulation of Automotive Functionality Using AUTOSAR
523
Modelica as a Platform for RealTime Simulation
549

Modeling Multiprocessor RealTime Systems at Transaction Level
243
ServiceBased Simulation Framework for Performance Estimation of Embedded Systems
259
Consistency Management of UML Models
289
Interactive Flight Control System Development and Validation with RealTime Simulation
331
Test Bed for Evaluation of Power Grid CyberInfrastructure
349
RealTime Simulation of Physical Systems Using Simscape
581
Systematic Derivation of Hybrid System Models for Hydraulic Systems
599
Back Cover
623
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About the author (2016)

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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