Zobrazeno 1 - 10
of 26
pro vyhledávání: '"C L P, Oliveira"'
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0299296 (2024)
Stressed soft materials commonly present viscoelastic signatures in the form of power-law or exponential decay. Although exponential responses are the most common, power-law time dependencies arise peculiarly in complex soft materials such as living
Externí odkaz:
https://doaj.org/article/15f6c7755f414432a7f02df93a50c8ca
Autor:
Daniel Leal Souza, Rodrigo Lisboa Pereira, Mario T. R. Serra Neto, Marco A. F. Mollinetti, Otavio Noura Teixeira, Roberto C. L. De Oliveira
Publikováno v:
IEEE Access, Vol 11, Pp 12150-12175 (2023)
The Multi-Swarm approach allows the use of multiple configurations between two or more populations of particles, where each one can present different approaches (e.g. lbest, gbest, Unified, Guaranteed-Convergence) directed towards improving the optim
Externí odkaz:
https://doaj.org/article/15fb8a27f3654a93a5e7e050f09c9dec
Autor:
Augusto C. L. de Oliveira, Natalia dos S. Renato, Rogerio S. Ribeiro Júnior, Luna L. H. Ildefonso
Publikováno v:
Engenharia Agrícola, Vol 43, Iss spe (2023)
ABSTRACT Bioenergy production relies on resources such as agricultural waste, which has prompted extensive research on biofuels. The heating value is a crucial parameter for evaluating energy sources. This study aims to analyze and propose formulatio
Externí odkaz:
https://doaj.org/article/38653eadf5404c5d9155a8d253053918
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Two-phase flow through porous media leads to the formation of drops and fingers, which eventually break and merge or may be trapped behind obstacles. This complex dynamical behavior highly influences macroscopic properties such as the effective perme
Externí odkaz:
https://doaj.org/article/a2cb4d27dc1540c8a9dd0a02ec9b8d27
Publikováno v:
Energies, Vol 16, Iss 4, p 2047 (2023)
This paper provides a procedure to design robust controllers based on observed states applied to three-phase inverters with LCL filters connected to a grid with uncertain and possibly time-varying impedances, which can arise in renewable energy syste
Externí odkaz:
https://doaj.org/article/0f70ccfa11ed47ee991d7c897e81b4a4
Autor:
Lucas C. Borin, Caio R. D. Osório, Gustavo G. Koch, Ricardo C. L. F. Oliveira, Vinícius F Montagner
Publikováno v:
Eletrônica de Potência, Vol 26, Iss 4 (2021)
Este trabalho propõe um procedimento para obter ganhos robustos de realimentação parcial de estados para controle das correntes de conversores conectados à rede com incertezas paramétricas. Controladores por realimentação parcial de estados pe
Externí odkaz:
https://doaj.org/article/b19c11e5f78743b6a9808c266dc3151b
Autor:
Roberto M. Fuentes, Jonathan M. Palma, Hildo Guillardi Júnior, Márcio J. Lacerda, Leonardo de P. Carvalho, Alejandro J. Rojas, Ricardo C. L. F. Oliveira
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3467 (2022)
This paper investigates the problem of control design for dc–dc converters, where the solution is especially suitable to address variations in the input voltage, a frequent situation in photovoltaic systems, and the problem of constant power load,
Externí odkaz:
https://doaj.org/article/a70bc9e91e0d4443995982db0ab72ebb
Autor:
Gustavo G. Koch, Caio R. D. Osório, Filipe P. Scalcon, Thieli S. Gabbi, Ricardo C. L. F. Oliveira, Vinícius F Montagner
Publikováno v:
Eletrônica de Potência, Vol 26, Iss 1 (2021)
Este artigo trata do projeto e da validação experimental de controladores robustos aplicados à regulação de velocidade de motores síncronos de ímãs permanentes. O motor é descrito por um modelo politópico, considerando que os parâmetros el
Externí odkaz:
https://doaj.org/article/81f7d4b7940144d297c75abadfbc53e8
Autor:
Christian E. Galarza, Jonathan M. Palma, Cecilia F. Morais, Jaime Utria, Leonardo P. Carvalho, Daniel Bustos, Ricardo C. L. F. Oliveira
Publikováno v:
Sensors, Vol 21, Iss 23, p 8058 (2021)
This paper proposes a new theoretical stochastic model based on an abstraction of the opportunistic model for opportunistic networks. The model is capable of systematically computing the network parameters, such as the number of possible routes, the
Externí odkaz:
https://doaj.org/article/ef135c5996614385a8ffab35ac37f883
Publikováno v:
Journal of Engineering Science and Technology, Vol 12, Iss 11, Pp 2952-2964 (2017)
Industries are always looking for more efficient maintenance systems to minimize machine downtime and productivity liabilities. Among several approaches, artificial intelligence techniques have been increasingly applied to machine diagnosis. Current
Externí odkaz:
https://doaj.org/article/577cd2ec36b14ddfbfb10772fb1f0cb0