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Identification of Multivariable Industrial Processes

for Simulation, Diagnosis and Control

  • Yucai Zhu
  • Ton Backx

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Yucai Zhu, Ton Backx
    Pages 1-7
  3. Yucai Zhu, Ton Backx
    Pages 8-20
  4. Yucai Zhu, Ton Backx
    Pages 21-36
  5. Yucai Zhu, Ton Backx
    Pages 37-67
  6. Yucai Zhu, Ton Backx
    Pages 68-96
  7. Yucai Zhu, Ton Backx
    Pages 108-135
  8. Yucai Zhu, Ton Backx
    Pages 136-158
  9. Back Matter
    Pages 176-187

About this book

Introduction

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.

Keywords

Dynamics Multivaribale Systems control control theory design identification industrial process manufacturing mimo system process control robust control simulation siso system transfer function

Authors and affiliations

  • Yucai Zhu
    • 1
  • Ton Backx
    • 1
  1. 1.IPCOS b.v.BestThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-2058-2
  • Copyright Information Springer-Verlag London 1993
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-2060-5
  • Online ISBN 978-1-4471-2058-2
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site