Work

Biological pest control using a model‐based robust feedback

Year: 2018

Type: article

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.

Source: IET Systems Biology

DOI: 10.1049/iet-syb.2018.5010

Authors: Hector Puebla, Priti Kumar Roy, Alejandra Velasco‐Perez, Margarita M. Gonzalez‐Brambila

Institutions: Universidad Autónoma Metropolitana, Jadavpur University, Universidad Veracruzana

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2809687947

FWCI: 1.38

Cites: 42

Cited by: 22

Related to: 10