MATLAB & Simulink Based Books
Multivariable System Identification: for Process Control
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Yucai Zhu, Eindhoven University of Technology
Elsevier Science, 2001 Outside North America
ISBN: 0-08-043985-3 |
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Written for students and practicing engineers, this book discusses industrial solutions
to process identification based upon scientific theory. Topics covered include various identification methods, including
linear and block-oriented nonlinear models; detailed project procedures for multivariable process identification control;
and identification test design and model validation. MATLAB and the System Identification Toolbox are used to solve numerous
example problems throughout the book.
Companion Software: A set of MATLAB M-files is available. (The System Identification
Toolbox is required.)
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