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 enginee
Modelling and Simulation of Integrated Systems in Engineering. Issues of Methodology, Quality, Testing and Application
โ Scribed by D. J. Murray-Smith (Auth.)
- Publisher
- Woodhead Publishing
- Year
- 2012
- Tongue
- English
- Leaves
- 373
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 application
- Multidisciplinary problems within engineering feature strongly in the applications
- The development and testing of nonlinear dynamic models is given very strong emphasis
โฆ Table of Contents
Content:
Front matter, Pages i-iii
Copyright, Page iv
List of figures, Pages xi-xvii
List of tables, Page xix
List of abbreviations, Pages xxi-xxii
Acknowledgements, Pages xxiii-xxv
Preface, Pages xxvii-xxix
About the author, Pages xxxi-xxxii
1 - The principles of system modelling, Pages 1-18
2 - Integrated systems and their significance for system modelling, Pages 19-33
3 - Problem organisation, Pages 35-86
4 - Inverse simulation for system modelling and design, Pages 87-128
5 - Methods and applications of parameter sensitivity analysis, Pages 129-163
6 - Experimental modelling: system identification, parameter estimation and model optimisation techniques, Pages 165-214
7 - Issues of model quality and the validation of dynamic models, Pages 215-268
8 - Real-time simulation, virtual prototyping and partial-system testing, Pages 269-290
9 - Model management, Pages 291-311
10 - Further discussion, Pages 313-320
Appendix A1: models of an unmanned underwater vehicle (UUV), Pages 321-331
Appendix A2: numerical methods for the solution of ordinary differential equations, Pages 333-338
Index, Pages 339-355
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