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Autonomous controller tuning by using a neural network

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Artificial Neural Networks (IWANN 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 540))

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Abstract

A back propagation neural network is applied to a non linear self-tuning tracking problem. Adaptive control techniques have proven to be useful only in stabilization of linear systems or some special non-linear systems. The arquitecture here proposed performs as an autonomous controller tuning scheme for a non linear system. The properties of such scheme are studied by simulation of a single degree of freedom manipulator system.

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References

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Author information

Authors and Affiliations

  1. Dpt. de Ingeniería de Sistemas y Automática Facultad de Informática, Universidad de Málaga, 29013, Málaga, Spain

    Fernández de J. Cañete, A. Ollero & M. Díaz-Fondón

Authors
  1. Fernández de J. Cañete
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  2. A. Ollero
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  3. M. Díaz-Fondón
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Editor information

Alberto Prieto

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© 1991 Springer-Verlag Berlin Heidelberg

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Cañete, F.d.J., Ollero, A., Díaz-Fondón, M. (1991). Autonomous controller tuning by using a neural network. In: Prieto, A. (eds) Artificial Neural Networks. IWANN 1991. Lecture Notes in Computer Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035926

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  • DOI: https://doi.org/10.1007/BFb0035926

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54537-8

  • Online ISBN: 978-3-540-38460-1

  • eBook Packages: Springer Book Archive

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