Literature DB >> 30472686

Biological pest control using a model-based robust feedback.

Hector Puebla1, Priti Kumar Roy2, Alejandra Velasco-Perez3, Margarita M Gonzalez-Brambila4.   

Abstract

Biological control is the artificial manipulation of natural enemies of a pest for its regulation to densities below a threshold for economic damage. The authors address the biological control of a class of pest population models using a model-based robust feedback approach. The proposed control framework is based on a recursive cascade control scheme exploiting the chained form of pest population models and the use of virtual inputs. The robust feedback is formulated considering the non-linear model uncertainties via a simple and intuitive control design. Numerical results on three pest biological control problems show that the proposed model-based robust feedback can regulate the pest population at the desired reference via the manipulation of a biological control action despite model uncertainties.

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Year:  2018        PMID: 30472686      PMCID: PMC8687276          DOI: 10.1049/iet-syb.2018.5010

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  5 in total

1.  Impulsive control strategies in biological control of pesticide.

Authors:  Zhonghua Lu; Xuebin Chi; Lansun Chen
Journal:  Theor Popul Biol       Date:  2003-08       Impact factor: 1.570

2.  State-dependent impulsive models of integrated pest management (IPM) strategies and their dynamic consequences.

Authors:  Sanyi Tang; Robert A Cheke
Journal:  J Math Biol       Date:  2004-10-07       Impact factor: 2.259

3.  Models for integrated pest control and their biological implications.

Authors:  Sanyi Tang; Robert A Cheke
Journal:  Math Biosci       Date:  2008-06-28       Impact factor: 2.144

4.  A two-agent model applied to the biological control of the sugarcane borer (Diatraea saccharalis) by the egg parasitoid Trichogramma galloi and the larvae parasitoid Cotesia flavipes.

Authors:  Sándor Molnár; Inmaculada López; Manuel Gámez; József Garay
Journal:  Biosystems       Date:  2016-02-19       Impact factor: 1.973

Review 5.  Eradication and pest management.

Authors:  J H Myers; A Savoie; E van Randen
Journal:  Annu Rev Entomol       Date:  1998       Impact factor: 19.686

  5 in total

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