• DocumentCode
    184271
  • Title

    Modeling and control design of plant circadian system for flowering time in Arabidopsis

  • Author

    Foo, M. ; Pan-Jun Kim

  • Author_Institution
    Asia Pacific Center for Theor. Phyiscs (APCTP), Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1687
  • Lastpage
    1692
  • Abstract
    The circadian system is an endogenous oscillatory rhythm that governs many aspect of biological functions in organisms. Organisms can perform at their best when this circadian rhythm is properly coordinated with their biological functions. In plants, one of the important biological functions mediated by the circadian system is flowering time. Proper flowering time especially in grain-bearing crops would ensure good productivity, which is important for the agricultural sector. One way to achieve this is to have a good control and decision support system that can properly manage the flowering time. To design such system, a model relating the circadian system and flowering time is needed. Conventional models that have been used to model circadian system for flowering time are nonlinear and they are difficult to be used for control design. In this paper, we build a model of circadian system for flowering time using system identification techniques. Models built using system identification are usually simple and useful for control design. We show that a simple linear model is able to describe the circadian system for flowering time and this model is sufficient for control design. A controller is designed using this model and the performance of the controller is shown to be good through simulation examples.
  • Keywords
    agriculture; control system synthesis; crops; decision support systems; productivity; Arabidopsis; agricultural sector; biological functions; circadian rhythm; control design; decision support system; endogenous oscillatory rhythm; flowering time management; grain-bearing crops; linear model; plant circadian system; productivity; system identification techniques; Control design; Eigenvalues and eigenfunctions; Mathematical model; Proteins; Rhythm; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2014 IEEE Conference on
  • Conference_Location
    Juan Les Antibes
  • Type

    conf

  • DOI
    10.1109/CCA.2014.6981555
  • Filename
    6981555