Description
Book SynopsisThis 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.
Table of ContentsAn 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
