Identification of Multivariable Industrial Processes: For Simulation, Diagnosis and Control
Author:   Yucai Zhu ,  Ton Backx
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Edition. ed.
ISBN:  

9783540198352


Pages:   200
Publication Date:   28 May 1993
Format:   Hardback
Availability:   Out of stock   Availability explained
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Identification of Multivariable Industrial Processes: For Simulation, Diagnosis and Control


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Overview

This monograph 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 and 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.

Full Product Details

Author:   Yucai Zhu ,  Ton Backx
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Edition. ed.
Weight:   0.465kg
ISBN:  

9783540198352


ISBN 10:   3540198350
Pages:   200
Publication Date:   28 May 1993
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Linear Models of Dynamic Processes and Signals.-Identification Experiment and Data Pre-Treatment.-Identification by the Least Squares Method.- Extensions of the Least-Squares Method.- MIMO Process Identification: A Markov Parameter Approach.- Identification for Robust Control; SISO Case.- Identification for Robust Control; MIMO Case.-Identification and Robust Control of the Glass Tube Process.-Identification for Fault Diagnosis; Estimation of Continuous-Time Models.

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