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Practical Grey-box Process Identification

Torsten P. Bohlin

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ISBN 10: 1846284023 / ISBN 13: 9781846284021
Published by Springer-Verlag Gmbh Jul 2006, 2006
New Condition: Neu Buch
From Agrios-Buch (Bergisch Gladbach, Germany)

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About this Item

Neuware - In process modelling, knowledge of the process under consideration is typically partial with significant disturbances to the model. Disturbances militate against the desirable trait of model reproducibility. 'Grey-box' identification takes advantage of two sources of process information that may be available: any invariant prior knowledge and response data from experiments. Practical Grey-box Process Identification is in three parts: The first part is a short review of the theoretical fundamentals of grey-box identification, focussing particularly on the theory necessary for the software presented in the second part. Part II puts the spotlight on MoCaVa, a MATLAB -compatible software tool, downloadable from springeronline.com, for facilitating the procedure of effective grey-box identification. Part III demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries. More advanced theory is laid out in an appendix and the MoCaVa source code enables readers to expand on its capabilities to their own ends. 351 pp. Englisch. Bookseller Inventory # 9781846284021

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Bibliographic Details

Title: Practical Grey-box Process Identification

Publisher: Springer-Verlag Gmbh Jul 2006

Publication Date: 2006

Binding: Buch

Book Condition:Neu

About this title

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This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries. In addition, the book answers common questions which will help in building accurate models for systems with unknown inputs.

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