Modelling and Simulation of Integrated Systems in Engineering

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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, for decision-making, for 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 mainly involve non-linear lumped-parameter models described by ordinary differential equations. Topics considered repeatedly in the context of these applications include: system identification and parameter estimation, parameter sensitivity analysis, model optimisation, and inverse simulation.