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Development of a Fuzzy Relational-Based Predictive Controller

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Advances in Fuzzy Control

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 16))

Abstract

The most widely used feedback controller for continuous industrial processes is still the simple Proportional, Integral plus Derivative (PID) controller. However, the widespread availability of digital process control computers and the need to meet international competition in product quality and production efficiency has resulted in a significant increase in the use of more advanced discrete control algorithms. Included in these advanced techniques is fuzzy logic control, and in particular control through the use of fuzzy model-based predictive controllers [1], [9], [10], [19], [24].

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Author information

Authors and Affiliations

  1. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada, T6G 2G6

    Mary M. Bourke & D. Grant Fisher

Authors
  1. Mary M. Bourke
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  2. D. Grant Fisher
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Linköping, S-58183, Linköping, Sweden

    Dimiter Driankov

  2. Corporate Technology Information and Communications, Dept. ZT IK4, Siemens AG, D-81730, Munich, Germany

    Rainer Palm

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© 1998 Springer-Verlag Berlin Heidelberg

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Bourke, M.M., Fisher, D.G. (1998). Development of a Fuzzy Relational-Based Predictive Controller. In: Driankov, D., Palm, R. (eds) Advances in Fuzzy Control. Studies in Fuzziness and Soft Computing, vol 16. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1886-4_11

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  • DOI: https://doi.org/10.1007/978-3-7908-1886-4_11

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-11053-9

  • Online ISBN: 978-3-7908-1886-4

  • eBook Packages: Springer Book Archive

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