Weed otimization and control models with uncertain parameters

• Grant number: 12/00189-3
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: September 01, 2012
• End date: February 28, 2013
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Geraldo Nunes Silva
• Grantee: Ulcilea Alves Severino Leal
• Host Institution: Instituto de Biociências, Letras e Ciências Exatas (IBILCE). Universidade Estadual Paulista (UNESP). Campus de São José do Rio Preto. São José do Rio Preto , SP, Brazil

Abstract

The purpose of this research is the study of dynamic optimization model for the selective application/mixture of herbicide in the annual system of corn crop harvest for a period of 5, 10 and 20 years. The density of seeds at the beginning of the planting and allele frequency are taken as state variables. The control variable is given by the dose-response function. The optimization models take into account the decreased efficiency of the herbicide over time, caused by the evolution of weed resistance. The goal is to maximize profit in a predetermined period and minimize the resistance evolution. The problem, which is modeled as a dynamic multi-objective optimization, will be treated as a multiobjective optimal control problem with uncertainties in the parameters. It is proposed to develop new theories of optimality for these problems. We first consider the parameters with uncertainties as intervals. The response of the system, which are the the state variables become intervals as wells in the modeling modeling process. This naturally makes the optimization problem be formulated as an optimal control problem in differential inclusion paradigm, for which there are existing theories which serve as a starting point for research.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LEAL, ULCILEA; LODWICK, WELDON; SILVA, GERALDO; MAQUI-HUAMAN, GINO G.. Interval optimal control for uncertain problems. FUZZY SETS AND SYSTEMS, v. 402, n. SI, p. 142-154, JAN 1 2021. (12/00189-3, 13/07375-0)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

LEAL, Ulcilea Alves Severino. Incerteza intervalar em otimização e controle. 2015. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Instituto de Biociências Letras e Ciências Exatas. São José do Rio Preto São José do Rio Preto.