Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hilario López García"'
Autor:
Helbert Eduardo Espitia Cuchango, Iván Machón González, Hilario López García, Domingo Guzmán Díaz González
Publikováno v:
Visión Electrónica, Vol 13, Iss 1, Pp 17-23 (2019)
Energy distribution systems present alterations in the voltage profile in their nodes when distributed generation elements are installed. As a consequence, tension can be risen in a level beyond the admissible. This paper presents the optimization to
Externí odkaz:
https://doaj.org/article/bed97ddc335441e88cf98cfe754078e8
Publikováno v:
Visión Electrónica, Vol 14, Iss 1, Pp 64-71 (2020)
This document shows the optimization of different configurations of a compact fuzzy controller for temperature regulation in a room; such configurations are established considering the analogy with different discrete linear controllers; the model is
Externí odkaz:
https://doaj.org/article/363fbb51441d45dda8569aa5a981462e
Publikováno v:
Complexity, Vol 2022 (2022)
This document describes the implementation of a conical tank control system using an adaptive neurofuzzy system. For implementation, an indirect approach is used where the controller is optimized using the model obtained during the plant identificati
Externí odkaz:
https://doaj.org/article/c22a054838754c2e8b95d9c556ec1211
Publikováno v:
Complexity, Vol 2019 (2019)
Systems of distributed generation have shown to be a remarkable alternative to a rational use of energy. Nevertheless, the proper functioning of them still manifests a range of challenges, including both the adequate energy dispatch depending on the
Externí odkaz:
https://doaj.org/article/f7ff1a0c21ec4aecb98d0ec87a65b95c
Publikováno v:
Visión Electrónica, Vol 13, Iss 2, Pp 273-279 (2019)
This paper presents the optimization of a linear controller for a DC motor using Dynamic Back-Propagation algorithm. This algorithm is commonly employed for neural networks training; however, it can be used for optimization of a linear controller. Th
Publikováno v:
Neural Computing and Applications. 32:18123-18142
The dynamics identification and subsequent control of a nonlinear system is not a trivial issue. The application of a neural gas network that is trained with a supervised batch version of the algorithm can produce identification models in a robust wa
Publikováno v:
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Complexity, Vol 2019 (2019)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Complexity, Vol 2019 (2019)
Systems of distributed generation have shown to be a remarkable alternative to a rational use of energy. Nevertheless, the proper functioning of them still manifests a range of challenges, including both the adequate energy dispatch depending on the
Autor:
Hilario López García, Helbert Eduardo Espitia Cuchango, Domingo Guzmán Díaz González, Iván Machón González
Publikováno v:
Visión Electrónica, Vol 13, Iss 1, Pp 17-23 (2019)
espanolLos sistemas de distribucion de energia presentan alteraciones en el perfil de tensiones de sus nodos cuando se instalan elementos de generacion distribuida, haciendo que en algunos nodos se eleve la tension, la cual puede llegar a estar por e
Publikováno v:
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
RUC. Repositorio da Universidade da Coruña
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
RUC. Repositorio da Universidade da Coruña
[Resumen] En este artículo se plantea una reflexión sobre el potencial valor docente en el ámbito de la ingeniería y particularmente en la ingeniería de control de las competiciones de drones y se describen las características de una competici
Publikováno v:
Applied Sciences; Volume 12; Issue 2; Pages: 541
Scopus
Applied Sciences, Vol 12, Iss 541, p 541 (2022)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Scopus
Applied Sciences, Vol 12, Iss 541, p 541 (2022)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
One characteristic of neuro-fuzzy systems is the possibility of incorporating preliminary information in their structure as well as being able to establish an initial configuration to carry out the training. In this regard, the strategy to establish