Main description:

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.

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