Multivariable System Identification: for Process Control
Yucai Zhu, Eindhoven University of Technology
Elsevier Science, 2001
ISBN: 0-08-043985-3;
Language: English
Written for students and practicing engineers, Multivariable System Identification: for Process Control 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 System Identification Toolbox are used to solve numerous example problems throughout the book.
