Buch, Englisch, 351 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 569 g
Theory and Applications
Buch, Englisch, 351 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 569 g
Reihe: Advances in Industrial Control
ISBN: 978-1-84996-598-9
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Theory of Grey-box Process Identification.- Prospects and Problems.- The MoCaVa Solution.- Tutorial on MoCaVa.- Preparations.- Calibration.- Some Modelling Support.- Case Studies.- Rinsing of the Steel Strip in a Rolling Mill.- Quality Prediction in a Cardboard Making Process.
