Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Elvia R. Palacios-Hernandez"'
Autor:
Raul Dali Cruz-Morales, Martin Velasco-Villa, Rafael Castro-Linares, Elvia R. Palacios-Hernandez
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 13 (2016)
This paper presents a novel solution for the classical leader-follower formation problem considering the case of nonholonomic mobile robots. A formation control strategy is proposed in a discrete-time context by considering the exact discrete-time di
Externí odkaz:
https://doaj.org/article/7347b07d107f4ce8b821d39d07946fbc
Autor:
Ivan A. Reyes-Portillo, Jorge A. Morales-Saldana, Saul R. Mendez-Elizondo, Aurelio Hernandez-Rodriguez, Elvia R. Palacios-Hernandez, Claudia A. Rivera-Romero
Publikováno v:
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Autor:
Ivan A. Reyes Portillo, Jorge A. Morales Saldana, Edgardo M. Netzahuatl Huerta, Elvia R. Palacios Hernandez, Saul R. Mendez Elizondo, Ericka Reyes Sanchez
Publikováno v:
2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Autor:
José D. Martínez-Morales, José Rubén Lagunas-Jiménez, Elvia R. Palacios-Hernandez, J.A. Morales-Saldana, Héctor Emmanuel Quej-Cosgaya
Publikováno v:
Science China Technological Sciences. 62:1055-1064
A multilayer perceptron (MLP) artificial neural network (ANN) model has been optimized by the multi-objective ant colony optimization (MOACO) algorithm, which uses three objective functions. A sensitivity analysis to choose MOACO parameter values is
Autor:
Mónica Trejo-Durán, Roberto Olivera-Reyna, J.A. Morales-Saldana, Elvia R. Palacios-Hernandez, Maria del Carmen Rodríguez-Liñán, Claudia Angelica Rivera-Romero
Publikováno v:
Journal of Applied Remote Sensing. 14
Cucurbits plants are very susceptible to fungal diseases as powdery mildew (PM) infection. Currently, the PM early detection in the field is the cutting-edge research. The objectives of our study were to assess visible and near-infrared spectroscopy
Autor:
S.R. Mendez-Elizondo, E.M. Netzahuatl-Huerta, Elvia R. Palacios-Hernandez, J.A. Morales-Saldana, I.A. Reyes-Portillo
Publikováno v:
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
In photovoltaic systems, it is necessary to have DCDC converters topologies with wide transformation ranges that have the ability to provide output voltages that can be greater or less than the supply voltage by the PV modules. Other aspects that the
Publikováno v:
Electrical Engineering. 100:59-73
This work presents a fault diagnosis strategy for induction motors based on multi-class classification through support vector machines (SVM), and the so-called one-against-one method. The proposed approach classifies four different motor conditions (
Autor:
Hernán González-Aguilar, Martin O. Mendez, J. S. Murguía, Alfonso Alba, V. E. Arce-Guevara, Elvia R. Palacios-Hernandez
Publikováno v:
Fractals. 28:2050050
In this work, the scaling behavior of the sleep process is evaluated by using detrended fluctuation analysis based on wavelets. The analysis is carried out from arrivals of short and recurrent cortical events called A-phases, which in turn build up t
Autor:
Hector Vazquez-Leal, Sergio Hernandez-Mendez, Elvia R. Palacios-Hernandez, Carolina Maldonado-Mendez, Antonio Marin-Hernandez, Homero Vladimir Rios-Figueroa
Publikováno v:
2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
In this paper is presented an interfacing of a robotic arm with a motion planner and a 3D viewer (RViz). The main purpose of this work, is to manipulate and grip objects to transport them from one location to another using Robot Operating System (ROS
Autor:
Elvia R. Palacios-Hernandez, Paulina D. Castaneda-Jimenez, Antonio Ruiz-Alonso, Miguel A. Vega-Sanchez, J.A. Morales-Saldana, Rafael Pena-Gallardo
Publikováno v:
2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
This paper presents a study of the complementarity of wind and solar resources over Mexico for electricity generation. A dataset was generated using high-resolution wind and solar resource maps provided by the SIGER project to assess the possibility