Practical Grey-box Process Identification
Publication year: 2006
: 978-1-84628-403-8
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.
: Engineering, Control, Control Applications, Control Engineering, Dymola(TM), Grey-box Methods, Industrie, MATLAB®, MoCaVa, Modelling, Process Engineering, Software, environment, mathematics, model, quality
