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.