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Advances in Industrial Control

Practical Grey-box Process Identification

Theory and Applications

Authors: Bohlin, Torsten P.

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About this book

In process modelling, knowledge of the process under consideration is typically partial with significant unknown inputs (disturbances) to the model. Disturbances militate against the desirable trait of model reproducibility. "Grey-box" identification can assist, in these circumstances, by taking advantage of the two sources of information that may be available: any invariant prior knowledge and response data from experiments.

Practical Grey-box Process Identification is a three-stranded response to the following questions which are frequently raised in connection with grey-box methods:

• How much of my prior knowledge is useful and even correct in this environment?

• Are my experimental data sufficient and relevant?

• What do I do about the disturbances that I can’t get rid of?

• How do I know when my model is good enough?

The first part of the book 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.

Practical Grey-box Process Identification will be of great interest and help to process control engineers and researchers and the software show-cased here will be of much practical assistance to students doing project work in this field.

 

 

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

About the authors

Professor (emeritus) Torsten Bohlin has been employed in the following capacities:

1963 - 1971 at the IBM Nordic Laboratories as Research Engeneer working with computerized industrial process ontrol.
1971 appointed (by the king) Professor of the chair of Automatic Control at Linkœping Technical Institute.
1972 - 1996 Professor in Automatic Control at the Royal Institute of Tecknology (KTH) in Stockholm.
1972 - 1988 Head of the Department of Automatic Control,
Member of the board of the school of Technical Physics, and Member of the faculty of KTH.
Member of the Swedish IFAC comittee, TFF (national), and IEEE
Reviewer 66 times

Table of contents (7 chapters)

Table of contents (7 chapters)
  • Prospects and Problems

    Pages 3-22

  • The MoCaVa Solution

    Pages 23-74

  • Preparations

    Pages 77-82

  • Calibration

    Pages 83-145

  • Some Modelling Support

    Pages 147-181

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-1-84628-403-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA
  • ISBN 978-1-84628-402-1
  • with online files
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $199.99
price for USA
  • ISBN 978-1-84996-598-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Practical Grey-box Process Identification
Book Subtitle
Theory and Applications
Authors
Series Title
Advances in Industrial Control
Copyright
2006
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84628-403-8
DOI
10.1007/1-84628-403-1
Hardcover ISBN
978-1-84628-402-1
Softcover ISBN
978-1-84996-598-9
Series ISSN
1430-9491
Edition Number
1
Number of Pages
XX, 351
Number of Illustrations
186 b/w illustrations
Topics

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