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Modeling and Advanced Control for Process Industries

Applications to Paper Making Processes

  • Book
  • © 1994

Overview

Authors:
  1. Ming Rao

    1. Department of Chemical Engineering, University of Alberta, Edmonton, Canada

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  2. Qijun Xia

    1. Department of Chemical Engineering, University of Alberta, Edmonton, Canada

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  3. Yiqun Ying

    1. Department of Chemical Engineering, University of Alberta, Edmonton, Canada

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

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-XI
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  2. Background

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 1-15

  3. Process Dynamics and Modeling

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 17-52

  4. Robust Control

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 53-70

  5. Predictive Control

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 71-122

  6. Bilinear Control

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 123-156

  7. Fault-Tolerant Control

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 157-191

  8. Fuzzy Control

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 193-214

  9. Expert Systems

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 215-244

  10. Modeling via Artificial Neural Network

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 245-263

  11. IOMCS for Pulp and Paper Processes

    • Ming Rao, Qijun Xia, Yiqun Ying
    Pages 265-292

  12. Back Matter

    Pages 293-297
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Keywords

About this book

Due to the complexity of the process operation and the requirements for high quality, low cost, safety and the protection of the environment, an increasing number of pulp and paper companies are in need of an advanced control technology to improve their process operation.
This publication presents, for the first time, the theory of such an advanced control technology as well as various industrial applications associated especially with Paper Making. The reader will gain a better understanding of the most popular and advanced process control techniques and applications of these techniques in an important real-time process industry. The contents are based on the authors' own research on modeling and advanced control in this field.

Authors and Affiliations

  • Department of Chemical Engineering, University of Alberta, Edmonton, Canada

    Ming Rao, Qijun Xia, Yiqun Ying

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