• DocumentCode
    2577850
  • Title

    Further results on feedback error learning control: Partially known plant and general response model

  • Author

    Sugimoto, Kenji ; Noguchi, Makoto

  • Author_Institution
    Grad Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Keihanna Science City, Japan
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    66
  • Lastpage
    71
  • Abstract
    Much attention has been paid recently to control-theoretic research on what is called feedback error learning (FEL). This paper provides yet another FEL control scheme, which generalizes existing ones in two points: i) It can treat a plant which is the product of known and unknown transfer matrices, and thereby reduces the number of parameters to be learned. ii) The response model is less restrictive, due to a general two-degree-of-freedom structure. Numerical simulation illustrates the effectiveness of the proposed scheme.
  • Keywords
    control system synthesis; feedback; learning (artificial intelligence); matrix algebra; neurocontrollers; FEL control scheme; feedback error learning control; general response model; numerical simulation; partially known plant; transfer matrices; Adaptation model; Biological system modeling; Control systems; Manipulator dynamics; Numerical simulation; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717775
  • Filename
    5717775