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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/24897
Title: 
Mathematical modeling and control of population systems: Applications in biological pest control
Author(s): 
Institution: 
  • University Ijuí
  • Universidade Estadual Paulista (UNESP)
  • California State Polytechnic University, Pomona
ISSN: 
0096-3003
Abstract: 
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. Asymptotic stability of the closed-loop nonlinear Kolmogorov system is guaranteed by means of a Lyapunov function which can clearly be seen to be the solution of the Hamilton-Jacobi-Bellman equation, thus guaranteeing both stability and optimality. Numerical simulations for three possible scenarios of biological pest control based on the Lotka-Volterra models are provided to show the effectiveness of this method. (c) 2007 Elsevier B.V. All rights reserved.
Issue Date: 
1-Jul-2008
Citation: 
Applied Mathematics and Computation. New York: Elsevier B.V., v. 200, n. 2, p. 557-573, 2008.
Time Duration: 
557-573
Publisher: 
Elsevier B.V.
Keywords: 
  • mathematical modeling
  • biological pest control
  • linear feedback control
  • Kolmogorov system
  • Lotka Volterra system
Source: 
http://dx.doi.org/10.1016/j.amc.2007.11.036
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/24897
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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