FAM on grain scheduling control of highly nonlinear and disturbed processes

  • Ramon Ferreiro Garcia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 945)


This paper describes an adaptive computer-based controller by gain scheduling strategy on the basis of associative memories for the control of nonlinear disturbed processes. The proposed algorithm, search for a rule-base during a training phase for which is applied a pattern input/output signal by means of a set of well adjusted regulators distributed along the full operating range (from 0 to 100/% input reference). After such phase the obtained rule-base will be processed by classical fuzzy methods in on line feedback control.This algorithm is highly efficient for each disturbance under different operating conditions. Good results are obtained by computer simulation using the simulation language Simnon as well as in real time computer control on a training board.


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    Astrom, K.J, Bjorn Wittenmark (1989): Adaptive Control. Addison-Wesley Publishing Company, Chap.8, pp 348–349Google Scholar
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    Bart Kosko (1992): Neural networks and fuzzy systems. Prentice Hall International, Inc. pp. 299–335. Chap. 8.Google Scholar
  3. 3.
    Ferreiro Garcia, R. (1994): Associative memories as leaning basis applied to roll control of an aircraft. pp. 23–29. Proceedings of Multivariable system techniques (AMST'94).Ed. by R.Whalley. University of Bradford. U.K.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Ramon Ferreiro Garcia
    • 1
  1. 1.Dept. of Electronics and SystemsE.S. Marina Civil. Univ. La CoruñaLa CoruñaSpain

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