Ebook: Modelling and simulation of integrated systems in engineering: Issues of methodology, quality, testing and application

This book places particular emphasis on issues of model quality and ideas of model testing and validation. Mathematical and computer-based models provide a foundation for explaining complex behavior, decision-making, engineering design and real-time simulators for research and training. Many engineering design techniques depend on suitable models, which makes assessing the adequacy of a given model critically important. Generic model structures and dependable libraries of sub-models which can be applied repeatedly are increasingly becoming important. Applications are drawn from the fields of mechanical, aeronautical and control engineering. They mainly involve non-linear lumped-parameter models described by ordinary differential equations. The contributors consider system identification and parameter estimation, parameter sensitivity analysis, model optimization and inverse simulation repeatedly in the context of these applications.