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Advances in Fuzzy Control pp 317–336Cite as

A Simplified Fuzzy Relational Structure for Adaptive Predictive Control

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

Abstract

Model based predictive controllers have a number of appealing features such as:

  • The ability to take into account the impact of the current control action on the future process state. This is a useful when dealing with non-minimum phase behaviors (e.g., to stablize plants whose open-loop response to a positive input step results first in a decrement of the output and only afterwards, in an increment), unknown or partially unknown dynamics.

  • The ability to accomodate knowledge about future requirements on the plant state represented in terms of a pre-defined tracking reference signal.

  • Effectiveness of control even when the predictor is a coarse approximator of the plant dynamics

  • The ability to deal with multiple objectives and constraints, e.g., on the manipulated variable.

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Author information

Authors and Affiliations

  1. Dept. Mathematics and Computer Science, UBI, Rua Marquês d’Ávila e Bolama, 6200, Covilhã, Portugal

    J. Valente de Oliveira

  2. Research Group on Control of Dynamic Systems, INESC, Rua Alves Redol 9, Apartado 13069, 1000, Lisboa, Portugal

    J. M. Lemos

Authors
  1. J. Valente de Oliveira
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  2. J. M. Lemos
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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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de Oliveira, J.V., Lemos, J.M. (1998). A Simplified Fuzzy Relational Structure for Adaptive Predictive Control. 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_12

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  • DOI: https://doi.org/10.1007/978-3-7908-1886-4_12

  • 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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