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Practical Grey-box Process Identification: Theory and Applications (Advances in Industrial Control)

Torsten P. Bohlin




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 | #5981422 in Books |  2006-07-05 | Original language:English | PDF # 1 |  9.21 x.88 x6.14l,1.65 | File type: PDF | 351 pages

||From the Back Cover||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" ident

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.



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