Dynamic Model Development: Methods, Theory and Applications

Autor: S. Macchietto

Język:

Oprawa: Twarda

Wydawca: Elsevier Science

Dostępność: Dostępna u dostawcy

Wysyłamy za 9-15 dni

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Detailed mathematical models are increasingly being used by companies to gain competitive advantage...

Informacje o książce

Autor

S. Macchietto

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2003

strony

266

EAN

9780444514653

ISBN

0444514651

Enbook ID

04611200

Wydawca

Elsevier Science

Waga

530

Wymiary

165 x 240 x 16

Pełny opis

Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing systems has become a key activity in Process Engineering. This activity involves the use of several methods and techniques including model solution techniques, nonlinear systems identification, model verification and validation, and optimal design of experiments just to name a few. In turn, several issues and open-ended problems arise within these methods, including, for instance, use of higher-order information in establishing parameter estimates, establishing metrics for model credibility, and extending experiment design to the dynamic situation. The material covered in this book is aimed at allowing easier development and full use of detailed and high fidelity models. Potential applications of these techniques in all engineering disciplines are abundant, including applications in chemical kinetics and reaction mechanism elucidation, polymer reaction engineering, and physical properties estimation. On the academic side, the book will serve to generate research ideas. It contains wide coverage of statistical methods applied to process modelling. It serves as a recent compilation of dynamic model building tools. It presents several examples of applying advanced statistical and modelling methods to real process systems problems.

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