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Predictive Control

  • Chapter
Modeling and Advanced Control for Process Industries

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

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Abstract

The major difficulties in paper-making process control may arise from the following reasons: (1) some process states are unmeasurable; (2) there are long time delays; (3) there are significant parameter variations; (4) there are strong couplings between basis weight and moisture content control; (5) there are measurable and unmeasurable process disturbances. In this chapter, we will introduce three algorithms to solve these problems.

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Authors and Affiliations

  1. Department of Chemical Engineering, University of Alberta, 536 Chemical-Mineral Engineering Building, Edmonton, T6G 2G6, Canada

    Ming Rao PhD, Qijun Xia PhD, MSc, BSc & Yiqun Ying MSc, BSc

Authors
  1. Ming Rao PhD
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  2. Qijun Xia PhD, MSc, BSc
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  3. Yiqun Ying MSc, BSc
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© 1994 Springer-Verlag London Limited

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Rao, M., Xia, Q., Ying, Y. (1994). Predictive Control. In: Modeling and Advanced Control for Process Industries. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-2094-0_4

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  • DOI: https://doi.org/10.1007/978-1-4471-2094-0_4

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2096-4

  • Online ISBN: 978-1-4471-2094-0

  • eBook Packages: Springer Book Archive

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