Read Practical Grey-Box Process Identification: Theory and Applications

Practical Grey-Box Process Identification: Theory and Applications

Torsten P. Bohlin

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Description: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(r)-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 endWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Practical Grey-Box Process Identification: Theory and Applications. To get started finding Practical Grey-Box Process Identification: Theory and Applications, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 376

Format: PDF, EPUB & Kindle Edition

Publisher: Springer London

Release: 2010

ISBN: 1280619686

Description: 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(r)-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 endWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Practical Grey-Box Process Identification: Theory and Applications. To get started finding Practical Grey-Box Process Identification: Theory and Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Practical Grey-Box Process Identification: Theory and Applications

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