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Practical Grey-box Process Identification - Torsten P. Bohlin
Livre non disponible
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Torsten P. Bohlin:

Practical Grey-box Process Identification - nouveau livre

2010, ISBN: 9781849965989

ID: 61423365

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, 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. Theory and Applications Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 21.10.2010 Buch (fremdspr.), Springer, .201

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Practical Grey-box Process Identification - Torsten P. Bohlin
Livre non disponible
(*)

Torsten P. Bohlin:

Practical Grey-box Process Identification - nouveau livre

2010, ISBN: 9781849965989

ID: 676961627

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, 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. Theory and Applications Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 21.10.2010, Springer, .201

Nouveaux livres Buch.ch
No. 25606502 Frais d'envoizzgl. Versandkosten, Livraison non-comprise
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Practical Grey-box Process Identification - Torsten P. Bohlin
Livre non disponible
(*)
Torsten P. Bohlin:
Practical Grey-box Process Identification - nouveau livre

ISBN: 9781849965989

ID: 9f3d63d7ebcf575934e75d3b82fc5b32

Theory and Applications 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, 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-1-84996-598-9, Springer

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Practical Grey-box Process Identification - Torsten P. Bohlin
Livre non disponible
(*)
Torsten P. Bohlin:
Practical Grey-box Process Identification - nouveau livre

ISBN: 9781849965989

ID: 156389100

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, 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. Theory and Applications Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Practical Grey-box Process Identification - Torsten P. Bohlin
Livre non disponible
(*)
Torsten P. Bohlin:
Practical Grey-box Process Identification - nouveau livre

ISBN: 9781849965989

ID: 111742538

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, 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. Theory and Applications Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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No. 25606502 Frais d'envoi, Versandfertig in 2 - 3 Tagen, DE (EUR 0.00)
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Détails sur le livre
Practical Grey-box Process Identification
Auteur:

Bohlin, Torsten P.

Titre:

Practical Grey-box Process Identification

ISBN:

9781849965989

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.

Informations détaillées sur le livre - Practical Grey-box Process Identification


EAN (ISBN-13): 9781849965989
ISBN (ISBN-10): 1849965986
Livre de poche
Date de parution: 2010
Editeur: Springer-Verlag GmbH
376 Pages
Poids: 0,567 kg
Langue: eng/Englisch

Livre dans la base de données depuis 28.12.2011 01:19:47
Livre trouvé récemment le 08.02.2017 18:43:34
ISBN/EAN: 9781849965989

ISBN - Autres types d'écriture:
1-84996-598-6, 978-1-84996-598-9

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