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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; 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; offers supplementary material at an associated website.
List of contents
An Introduction to Simulation Models and the Modelling Process.- Concepts of Simulation Model Testing, Verification and Validation.- Measures of Quality for Model Validation.- Sensitivity Analysis for Model Evaluation.- Experimental Data for Model Validation.- Methods of Model Verification.- Methods for the Invalidation/Validation of Simulation Models.- Management Issues within Simulation Model Development and Testing.- Case Study: Development and Testing of a Simulation Model of Two Interconnected Vessels.- Case Study: Model Validation and Experiment Design for Helicopter Simulation Model Development and Applications.- Case Study: Compartmental Models of the Gas-Exchange Processes of the Human Lungs.- Case Study: Modelling of Elements of the Neuromuscular.- Systems Involved in the Regulation of Posture and Control of Movement.- Further Discussion.
About the author
Dr. David Murray-Smith is Emeritus Professor and Honorary Senior Research Fellow of the School of Engineering at the University of Glasgow, UK.
Summary
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; 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; offers supplementary material at an associated website.
