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An Adaptive Fuzzy Based System for Time Critical Real World Applications

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Intelligent Autonomous Systems 12

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 193))

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Abstract

From a control theory point of view, robotics and artificial intelligence offer exceptionally complex problems. Often the examined control systems have a high number of inputs and outputs, show a black-box behaviour and can not be systematically analyzed due to a vague output and long reaction times. Adaptive behaviour control and enhancement during runtime of robots moving with high speed is such a problem, with the added requirement of real-time capability. In this paper, an adaptive pre-calculated fuzzy system is proposed as a possible solution for this task. The basic structure, construction process and adaption mechanism are described, furthermore the runtime for various dimensions is benchmarked as efficiency aspects are a major contribution of the approach.

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Author information

Authors and Affiliations

  1. IEH, University of Stuttgart, Pfaffenwaldring 47, 70569, Stuttgart, Germany

    Christoph Kattmann

  2. IPVS, University of Stuttgart, Universitätsstr. 38, 70569, Stuttgart, Germany

    Oliver Zweigle, Kai Häussermann & Paul Levi

Authors
  1. Christoph Kattmann
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  2. Oliver Zweigle
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  3. Kai Häussermann
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  4. Paul Levi
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Corresponding author

Correspondence to Christoph Kattmann .

Editor information

Editors and Affiliations

  1. , School of Information and Communication, Sungkyunkwan University, 300 Chunchun-Dong Jangan-Ku, Kyunggi-Do, 440-746, Korea, Republic of (South Korea)

    Sukhan Lee

  2. Science and Technology, Daegu Gyeongbuk Institute of, 50-1, Sang-Ri, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 711-873, Korea, Republic of (South Korea)

    Hyungsuck Cho

  3. Konkuk University, Neungdong-ro, Gwangjin-gu 120, Seoul, 143-701, Korea, Republic of (South Korea)

    Kwang-Joon Yoon

  4. , Department of Electronics Engineering, Pusan National University, Geum Jeong-ku, Pusan, 609-735, Korea, Republic of (South Korea)

    Jangmyung Lee

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Kattmann, C., Zweigle, O., Häussermann, K., Levi, P. (2013). An Adaptive Fuzzy Based System for Time Critical Real World Applications. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33926-4_35

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  • DOI: https://doi.org/10.1007/978-3-642-33926-4_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33925-7

  • Online ISBN: 978-3-642-33926-4

  • eBook Packages: EngineeringEngineering (R0)

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