Global optimization approach for the H2-norm model reduction problem

A branch and bound algorithm is proposed to solve the H2-norm model reduction problem for continuous-time linear systems, with conditions assuring convergence to the global optimum in finite time. The lower and upper bounds used in the optimization procedure are obtained through Linear Matrix Inequalities formulations. Examples illustrate the results.

Planejamento de Fontes Reativas em Sistemas de Energia Elétrica utilizando a técnica de Decomposição de Benders e o algoritmo de Branch-and-Bound

This paper presents the Benders decomposition technique and Branch and Bound algorithm used in the reactive power planning in electric energy systems. The Benders decomposition separates the planning problem into two subproblems: an investment subproblem (master) and the operation subproblem (slave), which are solved alternately. The operation subproblem is solved using a successive linear programming (SLP) algorithm while the investment subproblem, which is an integer linear programming (ILP) problem with discrete variables, is resolved using a Branch and Bound algorithm especially developed to resolve this type of problem.

A photogrammetric method for single image orientation and measurement

The aim of this paper is to present a photogrammetric method for determining the dimensions of flat surfaces, such as billboards, based on a single digital image. A mathematical model was adapted to generate linear equations for vertical and horizontal lines in the object space. These lines are identified and measured in the image and the rotation matrix is computed using an indirect method. The distance between the camera and the surface is measured using a lasermeter, providing the coordinates of the camera perspective center. Eccentricity of the lasermeter center related to the camera perspective center is modeled by three translations, which are computed using a calibration procedure. Some experiments were performed to test the proposed method and the achieved results are within a relative error of about 1 percent in areas and distances in the object space. This accuracy fulfills the requirements of the intended applications. © 2005 American Society for Photogrammetry and Remote Sensing.

Estimation of variance components and prediction of breeding values in rubber tree breeding using the REML/BLUP procedure

The present paper deals with estimation of variance components, prediction of breeding values and selection in a population of rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Müell.-Arg.] from Rio Branco, State of Acre, Brazil. The REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) procedure was applied. For this purpose, 37 rubber tree families were obtained and assessed in a randomized complete block design, with three unbalanced replications. The field trial was carried out at the Experimental Station of UNESP, located in Selvíria, State of Mato Grosso do Sul, Brazil. The quantitative traits evaluated were: girth (G), bark thickness (BT), number of latex vessel rings (NR), and plant height (PH). Given the unbalanced condition of the progeny test, the REML/BLUP procedure was used for estimation. The narrow-sense individual heritability estimates were 0.43 for G, 0.18 for BT, 0.01 for NR, and 0.51 for PH. Two selection strategies were adopted: one short-term (ST - selection intensity of 8.85%) and the other long-term (LT - selection intensity of 26.56%). For G, the estimated genetic gains in relation to the population average were 26.80% and 17.94%, respectively, according to the ST and LT strategies. The effective population sizes were 22.35 and 46.03, respectively. The LT and ST strategies maintained 45.80% and 28.24%, respectively, of the original genetic diversity represented in the progeny test. So, it can be inferred that this population has potential for both breeding and ex situ genetic conservation as a supplier of genetic material for advanced rubber tree breeding programs. Copyright by the Brazilian Society of Genetics.

Multi-area decentralized optimal VAr planning using the Dantzig-Wolfe decomposition principle

This paper presents a new methodology for solving the optimal VAr planning problem in multi-area electric power systems, using the Dantzig-Wolfe decomposition. The original multi-area problem is decomposed into subproblems (one for each area) and a master problem (coordinator). The solution of the VAr planning problem in each area is based on the application of successive linear programming, and the coordination scheme is based on the reactive power marginal costs in the border bus. The aim of the model is to provide coordinated mechanisms to carry out the VAr planning studies maximizing autonomy and confidentiality for each area, assuring global economy to the whole system. Using the mathematical model and computational implementation of the proposed methodology, numerical results are presented for two interconnected systems, each of them composed of three equal subsystems formed by IEEE30 and IEEE118 test systems. © 2011 IEEE.

Strategies to model scheduling decisions to plan the soft drink production process

In this paper we present a mixed integer model that integrates lot sizing and lot scheduling decisions for the production planning of a soft drink company. The main contribution of the paper is to present a model that differ from others in the literature for the constraints related to the scheduling decisions. The proposed strategy is compared to other strategies presented in the literature.

Estudo de um sistema mecânico com pêndulo sob excitação não ideal

Pós-graduação em Matemática - IBILCE

Sofrimento mental do estudante da Faculdade de Medicina de Botucatu-UNESP: uma análise de dois estudos transversais seriados

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo de vibrações eólicas em linhas de transmissão de energia elétrica de alta tensão

O crescente aumento da demanda de energia elétrica tem forçado o avanço tecnológico dos equipamentos responsáveis pelo transporte desta energia fazendo com que estes trabalhem sob tensões cada vez maiores, principalmente por razões econômicas. Mas este fato implica diretamente no incremento do diâmetro do condutor, o que acarreta elevação de seus custos, bem como das estruturas que devem suportá-lo. Para atender a esta necessidade sem aumentar o custo de projeto da linha de transmissão, surgiu a idéia de utilizar mais de um condutor por fase, montados paralelamente entre si a pequenas distâncias, o que é conseguido através da inserção de espaçadores montados a intervalos regulares ao longo dos vãos das linhas. Por outro lado, problemas mecânicos de ordem operacional das linhas podem ocorrer, como, por exemplo, a ruptura total ou parcial dos cabos e/ou espaçadores, proveniente de excitações dinâmicas devidas ao vento. Assim, este trabalho consiste no estudo do comportamento dinâmico de feixe de cabos de linhas aéreas de transmissão, através de um modelo de elementos finitos. O modelo reproduz o acoplamento dos cabos aos espaçadoresamortecedores da linha de transmissão e às estruturas de ancoragem, considerando o efeito de não-linearidade geométrica, decorrente dos grandes deslocamentos dos cabos, bem como a continuidade da linha, ou seja, os vãos adjacentes, que são representados por rigidez equivalente no modelo. O carregamento de vento é modelado através de um processo não deterministico a partir de suas propriedades estatísticas, tal que fica subdividido em duas partes: uma parte média, analisada de forma estática; e uma parte variável, analisada de forma dinâmica. Os resultados obtidos ao longo desse estudo mostram que a parcela variável do carregamento leva a uma resposta dinâmica do modelo que pode ser determinante no seu comportamento. Assim, o procedimento tradicional de assumir o carregamento do vento como uma excitação estática pode levar, em alguns casos a conseqüências desastrosas.

Multiple Determinants of Anuran Richness and Occurrence in an Agricultural Region in South-Eastern Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Multistage Transmission Expansion Planning Considering Fixed Series Compensation Allocation

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Seleção de progênies de Myracrodruon urundeuva (F.F. & M.F. Allemão) baseada em caracteres fenológicos e de crescimento para reconstituição de áreas de reserva legal

Pós-graduação em Agronomia - FEIS

Algoritmo tabu search especializado para o problema de planejamento da expansao de sistemas de transmissão

Pós-graduação em Engenharia Elétrica - FEIS

Meta-analysis of the response of broilers to the digestible lysine intake

Pós-graduação em Zootecnia - FCAV

Própolis na dieta de abelhas Apis mellifera L. e seu efeito no sistema imune, expressão de genes após o desafio bacteriano e detoxificação frente ao agroquímico fipronil

Pós-graduação em Zootecnia - FMVZ