| Description |
1 online resource |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
1. The principals of system modelling -- 2. Integrated systems and their significance for system modelling -- 3. Problem organisation -- 4. Inverse simulation for system modelling and design -- 5. Methods and applications of parameter sensitivity analysis -- 6. Experimental modelling: system identification, parameter estimation and model optimisation techniques -- 7. Issues of model quality and the validation of dynamic models -- 8. Real-time simulation, virtual prototyping and partial-system testing -- 9. Model management -- 10. Further discussion -- Appendix A1: Models of an unmanned underwater vehicle (UUV). |
| Summary |
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. Focuses on issues of model quality and the suitability of a given model for a specific applicationMultidisciplinary problems within engineering feature strongly in the applicationsThe development and testing of nonlinear dynamic models is given very strong emphasis. |
| Subject |
Simulation methods.
|
|
Méthodes de simulation. |
|
simulation methods. |
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Simulation methods |
| Other Form: |
Print version: 9780857090782 085709078X |
| ISBN |
0857096052 (electronic bk.) |
|
9780857096050 (electronic bk.) |
|
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