Title :
Optimization of biological pest control of sugarcane borer
Author :
Rafikov, Marat ; Angelelli, Tatiane
Author_Institution :
Univ. Fed. do ABC, Santo Andre, Brazil
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;
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
DOI :
10.1109/CCA.2009.5280989
