Modelling and simulation of integrated systems in engineering : issues of methodology, quality, testing and application /

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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, decision-making, engineering design and for real-time simulators for research and training. Many en...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Murray-Smith, D. J. (David J.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford ; Philadelphia : Woodhead Publishing, 2012.
Temas:
Simulation methods.
M�ethodes de simulation.
simulation methods.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Acceso en línea:Texto completo

MARC

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100 1 |a Murray-Smith, D. J.  |q (David J.) 
245 1 0 |a Modelling and simulation of integrated systems in engineering :  |b issues of methodology, quality, testing and application /  |c David J. Murray-Smith. 
260 |a Oxford ;  |a Philadelphia :  |b Woodhead Publishing,  |c 2012. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
505 0 |a 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). 
520 |a 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. 
650 0 |a Simulation methods. 
650 6 |a M�ethodes de simulation.  |0 (CaQQLa)201-0015061 
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650 7 |a TECHNOLOGY & ENGINEERING  |x Engineering (General)  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Reference.  |2 bisacsh 
650 7 |a Simulation methods.  |2 fast  |0 (OCoLC)fst01119166 
776 0 8 |i Print version:  |z 9780857090782  |z 085709078X 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780857090782  |z Texto completo 

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