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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