Advances in Industrial Control: for Simulation, Diagnosis and Control

Zhu, Yucai; Backx, Ton

Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. The areas covered are experiment design, model structure selection, parameter estimation as well as error bounds of the transfer function. This publication is intended to fill the gap between modern systems and control theory and industrial application. It is based on the results of 10 years of research and application experiences. The theories and models discussed are fully explained and illustrated with case studies. At an early stage the reader is introduced to real applications.

Details

Published by: Springer

Publication Date: 2011-12-27

Format: Paperback

ISBN-13: 9781447120605

DOI: 10.1007/978-1-4471-2058-2

Dimensions: 235cm x155cm

Pages: 187