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)


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.


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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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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