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Learning Control Via Neuro-Tabu-Fuzzy Controller

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4251))

Abstract

The paper presents a novel search algorithm named adaptive tabu search (ATS). The algorithm has been applied to enhance the learning process of neural networks. The paper presents a new neuro-tabu-fuzzy (NTF) control structure to demonstrate the capability of the ATS algorithm. The algorithm is general and can be applied to various problems including machine learning, optimization, etc. Our proposed algorithm and controller nicely stabilize the single- and double-inverted pendulum systems.

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References

  1. Yi, J., Yubazaki, N.: Stabilization Fuzzy Control of Inverted Pendulum Systems. Artificial Intelligence in Engineering 14, 153–163 (2000)

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Author information

Authors and Affiliations

  1. School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand

    Sarawut Sujitjorn & Sudarat Khwan-on

Authors
  1. Sarawut Sujitjorn
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  2. Sudarat Khwan-on
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Sujitjorn, S., Khwan-on, S. (2006). Learning Control Via Neuro-Tabu-Fuzzy Controller. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_100

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  • DOI: https://doi.org/10.1007/11892960_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46535-5

  • Online ISBN: 978-3-540-46536-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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