• DocumentCode
    3542789
  • Title

    On the Tensor Product based qLPV modeling of bio-inspired dynamic processes

  • Author

    Galambos, Peter ; Kuti, Jozsef ; Baranyi, Peter

  • Author_Institution
    Inst. for Comput. Sci. & Control, Budapest, Hungary
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    79
  • Lastpage
    84
  • Abstract
    A recently published definition of Cognitive Control draws twofold sense to characterize the main point of this new scientific field. On the one hand, Cognitive Control aims to apply the results of control theory to regulate natural or artificial cognitive systems. On the other hand it points toward the modeling of cognitive processes of different levels utilizing the apparatus of the modern systems theory. This paper discusses a systematic way based on the Tensor Product (TP) model transformation of deriving the qLPV model of complex dynamic processes such as balancing that are inherent capability of every vertebrates.
  • Keywords
    biology; cognitive systems; modelling; tensors; artificial cognitive systems; bioinspired dynamic processes; cognitive control; cognitive processes; complex dynamic processes; control theory; modern systems theory; natural cognitive systems; tensor product based qLPV modeling; tensor product model transformation; vertebrates; Biological system modeling; Control theory; Delays; Legged locomotion; Mathematical model; Numerical models; Tensile stress; Cognitive Control; TP model transformation; balancing; inverted pendulum; qLPV modeling; tightrope walking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
  • Conference_Location
    San Jose
  • Print_ISBN
    978-1-4799-0828-8
  • Type

    conf

  • DOI
    10.1109/INES.2013.6632787
  • Filename
    6632787