• DocumentCode
    1706468
  • Title

    Optimization of biological pest control of sugarcane borer

  • Author

    Rafikov, Marat ; Angelelli, Tatiane

  • Author_Institution
    Univ. Fed. do ABC, Santo Andre, Brazil
  • fYear
    2009
  • Firstpage
    1254
  • Lastpage
    1258
  • Abstract
    Ethanol is a good choice as a fuel and additive. The increase in world demand for ethanol will bring an increase of the sugarcane planted in Brazil. One of challenges of the improvements in the farming and harvesting of cane is the biological pest control. The aim of this paper is to apply methods from optimal control theory, and from the theory of dynamic systems to the mathematical modeling of biological pest control. The linear feedback control problem for nonlinear systems has been formulated in order to obtain the optimal pest control strategy only through the introduction of natural enemies. Numerical simulations for possible scenarios of biological pest control based on the Lotka-Volterra models are provided to show the effectiveness of this method.
  • Keywords
    agricultural products; agriculture; feedback; linear systems; nonlinear control systems; optimal control; optimisation; pest control; Lotka-Volterra model; biological pest control optimization; cane harvesting; dynamic system; ethanol; farming; linear feedback control problem; mathematical modeling; nonlinear system; optimal control theory; sugarcane borer; Additives; Biological system modeling; Ethanol; Feedback control; Fuels; Mathematical model; Nonlinear systems; Numerical simulation; Optimal control; Pest control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    Saint Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5280989
  • Filename
    5280989