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Animal Vibrissae: Modeling and Adaptive Control of Bio-inspired Sensors

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Advances in Computational Intelligence (IWANN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7903))

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Abstract

The reception of vibrations is a special sense of touch, important for many insects and vertebrates. The latter realize this reception by means of hair-shaped vibrissae in the mystacial pad, to acquire tactile information about their environments. The system models have to allow for stabilizing and tracking control while nevertheless being able to detect superimposed solitary excitations. Controllers have to be adaptive in view of both the randomness of the external signals to be suppressed and the uncertainty of system data. We presents mechanical models and an improved adaptive control strategy that avoids identification but renders the system sensitive.

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Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, Ilmenau University of Technology, Max-Planck-Ring 12, 98693, Ilmenau, Germany

    Carsten Behn, Tonia Schmitz, Hartmut Witte & Klaus Zimmermann

Authors
  1. Carsten Behn
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  2. Tonia Schmitz
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  3. Hartmut Witte
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  4. Klaus Zimmermann
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Editor information

Editors and Affiliations

  1. Department of Computer Architecture and Computer Technology, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Ignacio Rojas

  2. Department of Electronics Technology, University of Malaga, 29071, Malaga, Spain

    Gonzalo Joya

  3. Department of Electronics Engineering, Universitat Politecnica de Catalunya, 08034, Barcelona, Spain

    Joan Cabestany

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Behn, C., Schmitz, T., Witte, H., Zimmermann, K. (2013). Animal Vibrissae: Modeling and Adaptive Control of Bio-inspired Sensors. In: Rojas, I., Joya, G., Cabestany, J. (eds) Advances in Computational Intelligence. IWANN 2013. Lecture Notes in Computer Science, vol 7903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38682-4_19

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  • DOI: https://doi.org/10.1007/978-3-642-38682-4_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38681-7

  • Online ISBN: 978-3-642-38682-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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