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

Edited by (MathWorks, Natick, Massachusetts, USA), Edited by (MathWorks, Natick, Massachusetts, USA)
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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 simulationall 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.
Preface ix
Editors xi
Contributors xiii
Introduction xvii
SECTION I Basic Simulation Technologies and Fundamentals
Chapter 1 Real-Time Simulation Using Hybrid Models
3(32)
Roy Crosbie
Chapter 2 Formalized Approach for the Design of Real-Time Distributed Computer Systems
35(28)
Ming Zhang
Bernard Zeigler
Xiaolin Hu
Chapter 3 Principles of DEVS Model Verification for Real-Time Embedded Applications
63(34)
Hesham Saadawi
Gabriel A. Wainer
Mohammad Moallemi
Chapter 4 Optimizing Discrete Modeling and Simulation for Real-Time Constraints with Metaprogramming
97(26)
Luc Touraille
Jonathan Caux
David Hill
Chapter 5 Modeling with UML and Its Real-Time Profiles
123(36)
Emilia Farcas
Ingolf H. Kruger
Massimiliano Menarini
Chapter 6 Modeling and Simulation of Timing Behavior with the Timing Definition Language
159(22)
Josef Templ
Andreas Naderlinger
Patricia Derler
Peter Hintenaus
Wolfgang Pree
Stefan Resmerita
SECTION II Real-Time Simulation for System Design
Chapter 7 Progressive Simulation-Based Design for Networked Real-Time Embedded Systems
181(18)
Xiaolin Hu
Ehsan Azarnasab
Chapter 8 Validator Tool Suite: Filling the Gap between Conventional Software-in-the-Loop and Hardware-in-the-Loop Simulation Environments
199(20)
Stefan Resmerita
Patricia Derler
Wolfgang Pree
Kenneth Butts
Chapter 9 Modern Methodology of Electric System Design Using Rapid-Control Prototyping and Hardware-in-the-Loop
219(24)
Jean Belanger
Christian Dufour
Chapter 10 Modeling Multiprocessor Real-Time Systems at Transaction Level
243(16)
Giovanni Beltrame
Gabriela Nicolescu
Luca Fossati
Chapter 11 Service-Based Simulation Framework for Performance Estimation of Embedded Systems
259(30)
Anders Sejer Tranberg-Hansen
Jan Madsen
Chapter 12 Consistency Management of UML Models
289(42)
Emilia Farcas
Ingolf H. Kruger
Massimiliano Menarini
SECTION III Parallel and Distributed Real-Time Simulation
Chapter 13 Interactive Flight Control System Development and Validation with Real-Time Simulation
331(18)
Hugh H. T. Liu
Chapter 14 Test Bed for Evaluation of Power Grid Cyber-Infrastructure
349(22)
David C. Bergman
David M. Nicol
Chapter 15 System Approach to Simulations for Training: Instruction, Technology, and Process Engineering
371(18)
Sae Schatz
Denise Nicholson
Rhianon Dolletski
Chapter 16 Concurrent Simulation for Online Optimization of Discrete Event Systems
389(30)
Christos G. Cassandras
Christos G. Panayiotou
SECTION IV Tools and Applications
Chapter 17 Toward Accurate Simulation of Large-Scale Systems via Time Dilation
419(20)
James Edmondson
Douglas C. Schmidt
Chapter 18 Simulation for Operator Training in Production Machinery
439(22)
Gerhard Rath
Chapter 19 Real-Time Simulation Platform for Controller Design, Test, and Redesign
461(40)
Savas Sahin
Yalcin Isler
Cuneyt Guzelis
Chapter 20 Automotive Real-Time Simulation: Modeling and Applications
501(22)
Johannes Scharpf
Robert Hopler
Jeffrey Hillyard
Chapter 21 Specification and Simulation of Automotive Functionality Using AUTOSAR
523(26)
Marco Di Natale
Chapter 22 Modelica as a Platform for Real-Time Simulation
549(32)
John J. Batteh
Michael M. Tiller
Dietmar Winkler
Chapter 23 Real-Time Simulation of Physical Systems Using Simscape™
581(18)
Steve Miller
Jeff Wendlandt
Chapter 24 Systematic Derivation of Hybrid System Models for Hydraulic Systems
599(24)
Jeremy Hodgson
Rick Hyde
Sanjiv Sharma
Index 623
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 hardwaresoftware 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.