• DocumentCode
    3212713
  • Title

    Application Oriented Intelligence Control; Survey and Future Perspectives

  • Author

    Hirota, Kaoru

  • Author_Institution
    Tokyo Inst. of Technol., Meguro
  • fYear
    2008
  • fDate
    25-29 Feb. 2008
  • Firstpage
    11
  • Lastpage
    11
  • Abstract
    Intelligence control is the control based on Computational Intelligence Technology that covers fuzzy logic, neural networks, and evolutionary computation. The world first industrial application example can be seen in the cement kiln control developed by F.L.Smith Inc (Denmark) in 1979. After that, many (i.e., more than several hundred) intelligence control applications have been announced in various fields. Such R&D histories are surveyed by showing many photos/illustrations, that will be a good help for application oriented young researchers in the field of intelligence control. The author has also been cooperated with industries in some of those industrial application examples. Such results, especially in the field of robotics applications, are mentioned by showing DVD video images. Lastly several on going projects in the author´s laboratory are introduced such as NEDO next generation robotics project and stepping motor nano-drive control by referring their future perspectives.
  • Keywords
    evolutionary computation; fuzzy control; intelligent control; neurocontrollers; DVD video image; NEDO next generation robotics; application oriented intelligence control; computational intelligence technology; evolutionary computation; fuzzy logic; neural network; stepping motor nano-drive control; Cement industry; Competitive intelligence; Computational intelligence; Evolutionary computation; Fuzzy logic; Industrial control; Intelligent control; Intelligent networks; Neural networks; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems, 2008. INES 2008. International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-2082-7
  • Electronic_ISBN
    978-1-4244-2083-4
  • Type

    conf

  • DOI
    10.1109/INES.2008.4481260
  • Filename
    4481260