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This must-read text/reference provides a practical guide to processes involved in the development and application of dynamic simulation models, covering a wide range of issues relating to testing, verification and validation. Illustrative example problems in continuous system simulation are presented throughout the book, supported by extended case studies from a number of interdisciplinary applications. Topics and features: Provides an emphasis on practical issues of model quality and validation, along with questions concerning the management of simulation models, the use of model libraries, and generic models Contains numerous step-by-step examples Presents detailed case studies, often with accompanying datasets for readers to use in model validation and testing exercises Includes discussion of hybrid models, which involve a combination of continuous system and discrete-event descriptions Examines experimental modeling approaches that involve system identification and parameter estimation, emphasizing the practical importance of more theoretical concepts such as identifiability and test input design Offers supplementary material at an associated website, including links for readers without prior experience in this field to expand their background knowledge This highly useful, hands-on work will be of great benefit to practitioners and professionals who use simulation and modeling techniques in their work, as well as to students in graduate-level courses on modeling and simulation. Dr. David Murray-Smith is an Emeritus Professor and Honorary Senior Research Fellow at the University of Glasgow.
Computer Science --- Engineering & Applied Sciences --- Computer simulation. --- Simulation methods. --- Simulation techniques --- System simulation --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Computer science. --- Human physiology. --- Microprogramming. --- Computer science --- Computer mathematics. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Simulation and Modeling. --- Mathematical Applications in Computer Science. --- Appl.Mathematics/Computational Methods of Engineering. --- Control Structures and Microprogramming. --- Human Physiology. --- Mathematics. --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Operations research --- Systems engineering --- Models and modelmaking --- Mathematical and Computational Engineering. --- Human biology --- Medical sciences --- Physiology --- Human body --- Computer programming --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Computer science—Mathematics. --- Microprogramming . --- Computer mathematics --- Electronic data processing --- Computer Modelling. --- Mathematical and Computational Engineering Applications. --- Data processing.
Choose an application
Choose an application
Choose an application
This must-read text/reference provides a practical guide to processes involved in the development and application of dynamic simulation models, covering a wide range of issues relating to testing, verification and validation. Illustrative example problems in continuous system simulation are presented throughout the book, supported by extended case studies from a number of interdisciplinary applications. Topics and features: Provides an emphasis on practical issues of model quality and validation, along with questions concerning the management of simulation models, the use of model libraries, and generic models Contains numerous step-by-step examples Presents detailed case studies, often with accompanying datasets for readers to use in model validation and testing exercises Includes discussion of hybrid models, which involve a combination of continuous system and discrete-event descriptions Examines experimental modeling approaches that involve system identification and parameter estimation, emphasizing the practical importance of more theoretical concepts such as identifiability and test input design Offers supplementary material at an associated website, including links for readers without prior experience in this field to expand their background knowledge This highly useful, hands-on work will be of great benefit to practitioners and professionals who use simulation and modeling techniques in their work, as well as to students in graduate-level courses on modeling and simulation. Dr. David Murray-Smith is an Emeritus Professor and Honorary Senior Research Fellow at the University of Glasgow.
Mathematics --- Human physiology --- Applied physical engineering --- Engineering sciences. Technology --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- machinetalen --- ICT (informatie- en communicatietechnieken) --- toegepaste wiskunde --- vormgeving --- computers --- economie --- informatica --- mineralen (chemie) --- fysiologie --- simulaties --- externe fixatie (geneeskunde --- programmeren (informatica) --- mijnbouw --- programmeertalen --- wiskunde --- ingenieurswetenschappen
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