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Learning Control Via Neuro-Tabu-Fuzzy Controller

  • Sarawut Sujitjorn
  • Sudarat Khwan-on
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Stabilization Limit Fuzzy Controller Stabilization Time Inverted Pendulum Learn Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Yi, J., Yubazaki, N.: Stabilization Fuzzy Control of Inverted Pendulum Systems. Artificial Intelligence in Engineering 14, 153–163 (2000)CrossRefGoogle Scholar
  2. 2.
    Yi, J., Yubazaki, N., Hirota, K.: Stabilization Control of Series-Type Double Inverted Pendulum Systems using the SIRMs Dynamically Connected Fuzzy Inference Model. Artificial Intelligence in Engineering 15, 297–308 (2001)CrossRefGoogle Scholar
  3. 3.
    Puangdownreong, D., Kulworawanichpong, T., Sujitjorn, S.: Finite Convergence and Performance Evaluation of Adaptive Tabu Search. LNCS (online). Springer, Berlin, Heidelberg, New York (2004)Google Scholar
  4. 4.
    Mizumoto, M.: Product-Sum-Gravity Method = Fuzzy Singleton-Type Reasoning Method = Simplified Fuzzy Reasoning Method. In: Proc. IEEE Int. Conf. on Fuzzy Systems, vol. 3, pp. 2098–2102 (1996)Google Scholar
  5. 5.
    Fausett, L.: Fundamentals of Neural Networks Architectures, Algorithms, and Application. Prentice-Hall, New Jersey (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sarawut Sujitjorn
    • 1
  • Sudarat Khwan-on
    • 1
  1. 1.School of Electrical EngineeringSuranaree University of TechnologyNakhon RatchasimaThailand

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