Multivariable System Identification: for Process Control

By Yucai Zhu. 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.