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Full Description
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.
Contents
List of figuresList of tablesList of abbreviationsAcknowledgementsPrefaceAbout the authorChapter 1: The principles of system modellingAbstract:1.1 General issues in the development and application of models1.2 Classes of model for engineering applications1.3 Questions of model quality1.4 Methods of experimental modelling1.5 Model reuse and generic models1.6 Modelling within the procurement processChapter 2: Integrated systems and their significance for system modellingAbstract:2.1 An introduction to integrated systems2.2 Sequential and concurrent design proceduresChapter 3: Problem organisationAbstract:3.1 Model organisation for engineering systems design3.2 The physical component layer3.3 The physical concept layer3.4 The mathematical description layer3.5 Software for modelling and simulation3.6 New developments in the modelling and simulation of micro-and nano-mechanical systemsChapter 4: Inverse simulation for system modelling and designAbstract:4.1 An introduction to inverse modelling and inverse simulation4.2 Methods of inverse simulation4.3 Example: inverse simulation applied to a linear model4.4 Case study: an application involving a nonlinear unmanned underwater vehicle (UUV) system model4.5 DiscussionChapter 5: Methods and applications of parameter sensitivity analysisAbstract:5.1 Fundamental concepts of parameter sensitivity analysis5.2 The sensitivity function5.3 Methods of sensitivity analysis involving repeated solutions5.4 Methods of sensitivity analysis involving sensitivity models5.5 Case study: sensitivity analysis applied to the unmanned underwater vehicle (UUV) model5.6 Sensitivity analysis using bond graphs5.7 Sensitivity analysis in inverse simulationChapter 6: Experimental modelling: system identification, parameter estimation and model optimisation techniquesAbstract:6.1 The use of system identification and optimisation techniques in the development of physically based dynamic models6.2 Applications of conventional methods of system identification and parameter estimation to physically based models6.3 System identification and parameter estimation applied to helicopter flight mechanics models6.4 Some selected methods of local and global parameter optimisation6.5 Genetic programming (GP) for model structure estimation6.6 Some practical issues in global parameter optimisation6.7 Further examples of system identification, parameter estimation and model optimisation techniques in integrated systems applicationsChapter 7: Issues of model quality and the validation of dynamic modelsAbstract:7.1 An introduction to the issues of model quality and validation7.2 Model quality concepts, model uncertainties and modelling errors7.3 Model testing, verification and validation7.4 Issues of model validation and model quality in typical applications7.5 Issues of model quality in model reduction7.6 DiscussionChapter 8: Real-time simulation, virtual prototyping and partial-system testingAbstract:8.1 Virtual prototyping through simulation8.2 Real-time simulation methods8.3 Hardware-in-the-loop simulation8.4 Multi-rate simulation techniques8.5 Some new developments in real-time simulationChapter 9: Model managementAbstract:9.1 Issues of model management9.2 Tools for model management9.3 Multi-formalism in simulation and modelling9.4 Generic models9.5 Validation of library sub-models and generic models9.6 Educational issuesChapter 10: Further discussionAbstract:10.1 A summary of some strategic issues in the modelling and simulation of integrated systems10.2 Research and development work on modelling and simulation methods for integrated system applicationsAppendix A1: models of an unmanned underwater vehicle (UUV)Appendix A2: numerical methods for the solution of ordinary differential equationsIndex
