Modelling and Simulation of Integrated Systems in Engineering

Summary: - focuses on issues of model quality and the suitability of a given model for a specific application - multidisciplinary problems within engineering feature strongly in the applications - the development and testing of nonlinear dynamic models is given very strong emphasis - particular attention is given to integrated systems applications involving complex design processes where decisions involving one sub-system have a direct bearing on the design of other sub-systems and on the overall structure of the complete system - issues of model documentation, version control and the use of generic models are carefully considered 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 behaviour, decision-making, engineering design and for real-time simulators for research and training. Many engineering design techniques depend on suitable models, assessment of the adequacy of a given model for an intended application is therefore critically important. Generic model structures and dependable libraries of sub-models that can be applied repeatedly are increasingly important. Applications are drawn from the fields of mechanical, aeronautical and control engineering, and involve non-linear lumped-parameter models described by ordinary differential equations. About the author: Professor David J. Murray-Smith is Emeritus Professor and Honorary Senior Research Fellow at the School of Engineering at the University of Glasgow. He is also Adjunct Research Professor at California State University Chico. His research has involved helicopter flight mechanics model validation and system identification from flight data, flight control system design, ship and underwater vehicle control and collaborative work in other multidisciplinary areas such as hydro-turbine system modelling and control, electro-optic sensor systems and biomedical engineering. Contents: The principles of system modelling Integrated systems and their significance for system modelling Problem organisation Inverse simulation for system modelling and design Methods and applications of parameter sensitivity analysis Experimental modelling: system identification, parameter estimation and model optimisation techniques Issues of model quality and the validation of dynamic models Real-time simulation, virtual prototyping and partial-system testing Model management Further discussion