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Identification of Multivariable Industrial Processes

for Simulation, Diagnosis and Control

  • Book
  • © 1993

Overview

Authors:
  1. Yucai Zhu

    1. IPCOS b.v., Best, The Netherlands

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Ton Backx

    1. IPCOS b.v., Best, The Netherlands

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Advances in Industrial Control (AIC)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • Yucai Zhu, Ton Backx
    Pages 1-7

  3. Linear Models of Dynamic Processes and Signals

    • Yucai Zhu, Ton Backx
    Pages 8-20

  4. Identification Experiments and Data Pre-Treatment

    • Yucai Zhu, Ton Backx
    Pages 21-36

  5. Identification by the Least-Squares Method

    • Yucai Zhu, Ton Backx
    Pages 37-67

  6. Extensions of the Least-Squares Method

    • Yucai Zhu, Ton Backx
    Pages 68-96

  7. MIMO Process Identification: A Markov Parameter Approach

    • Yucai Zhu, Ton Backx
    Pages 97-107

  8. Identification for Robust Control; SISO Case

    • Yucai Zhu, Ton Backx
    Pages 108-135

  9. Identification for Robust Control; MIMO Case

    • Yucai Zhu, Ton Backx
    Pages 136-158

  10. Identification and Robust Control of the Glass Tube Process

    • Yucai Zhu, Ton Backx
    Pages 159-166

  11. Identification for Fault Diagnosis; Estimation of Continuous-Time Models

    • Yucai Zhu, Ton Backx
    Pages 167-175

  12. Back Matter

    Pages 176-187
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Keywords

About this book

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.

Authors and Affiliations

  • IPCOS b.v., Best, The Netherlands

    Yucai Zhu, Ton Backx

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