Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Tomas Salgado"'
Autor:
Juan Carlos Herguera, Edward M. Peters, Julio Sheinbaum, Paula Pérez-Brunius, Sharon Z. Herzka, Alexei Licea-Navarro, Francisco Ocampo-Torres, M. Leopoldina Aguirre-Macedo, Victor M. Vidal-Martínez, Hector García-Nava, Tomas Salgado, Rosario Romero-Centeno, Jorge Zavala-Hidalgo, Liliana Pardo-López, Adolfo Gracia
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
The tragic accident of the Macondo platform operated by British Petroleum (BP) unleashed in 2010 one of the largest oil spills in history, lasting over three months, spilling nearly 500 million liters of oil in one of the most biodiverse ocean region
Externí odkaz:
https://doaj.org/article/c1900fae14a54655b80e5048214af9d3
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 11, p 919 (2020)
The Variable Buoyancy System (VBS) is a critical device in the operation of underwater gliders that should be properly sized to achieve the required vehicle propulsion; safety within the operating range; and adequate efficiency at the nominal depth r
Externí odkaz:
https://doaj.org/article/3edc50948fe74dbb893d2bf8e791ce0a
Autor:
Luis Govinda García-Valdovinos, Fernando Fonseca-Navarro, Joanes Aizpuru-Zinkunegi, Tomas Salgado-Jiménez, Alfonso Gómez-Espinosa, José Antonio Cruz-Ledesma
Publikováno v:
Sensors, Vol 19, Iss 13, p 2943 (2019)
Proposed in this paper is a model-free and chattering-free second order sliding mode control (2nd-SMC) in combination with a backpropagation neural network (BP-NN) control scheme for underwater vehicles to deal with external disturbances (i.e., ocean
Externí odkaz:
https://doaj.org/article/e31c8b79523145459e8999ba68a1663d
Autor:
Jesus Arturo Monroy-Anieva, Cyril Rouviere, Eduardo Campos-Mercado, Tomas Salgado-Jimenez, Luis Govinda Garcia-Valdovinos
Publikováno v:
Sensors, Vol 18, Iss 8, p 2574 (2018)
This work describes the modeling, control and development of a low cost Micro Autonomous Underwater Vehicle (μ-AUV), named AR2D2. The main objective of this work is to make the vehicle to detect and follow an object with defined color by means of th
Externí odkaz:
https://doaj.org/article/91dfe3f40e734213ab7bd4599b1f6fa4
Autor:
Noé Amir Rodríguez-Olivares, L.G. Garcia-Valdovinos, Juan Pablo Orozco-Muñiz, Uriel Martinez-Hernandez, Adrian Rubio-Solis, Tomas Salgado-Jimenez, Luciano Nava-Balanzar
Publikováno v:
Rubio-Solis, A, Martinez Hernandez, U, Nava-Balanzar, L, Garcia-Valdovinos, L, Rodriguez-Olivares, N, Orozco-Muniz, J & Salgado-Jimenez, T 2022, ' Online Interval Type-2 Fuzzy Extreme Learning Machine Applied to 3D Path Following for Remotely Operated Underwater Vehicles ', Applied Soft Computing, vol. 115, 108054 . https://doi.org/10.1016/j.asoc.2021.108054
In marine missions that involve 3D path following tasks, the overall goal of Underwater Vehicles (UVs) is the successful completion of a path previously specified by the operator. This implies that the path must be followed by the UV as closely as po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6727d75265e7cdbad6544f0e1faa8566
https://purehost.bath.ac.uk/ws/files/226956113/OIT2_FELM_applied_to_ROVs_Elsevier_Final_.pdf
https://purehost.bath.ac.uk/ws/files/226956113/OIT2_FELM_applied_to_ROVs_Elsevier_Final_.pdf
Autor:
Jesús Arturo Escobedo Cabello, Josué González-García, Enrique Cuan-Urquizo, Tomas Salgado Jimenez, Luis García-Valdovinos, Alfonso GómezEspinosa
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 22, Iss 488, p 488 (2022)
Sensors; Volume 22; Issue 2; Pages: 488
Sensors, Vol 22, Iss 488, p 488 (2022)
Sensors; Volume 22; Issue 2; Pages: 488
Several control strategies have been proposed for the trajectory tracking problem of Autonomous Underwater Vehicles (AUV). Most of them are model-based, hence, detailed knowledge of the parameters of the robot is needed. Few works consider a finite-t
Autor:
Josué González-García, Alfonso Gómez-Espinosa, L.G. Garcia-Valdovinos, Enrique Cuan-Urquizo, Jesús Arturo Escobedo Cabello, Néstor Alejandro Narcizo-Nuci, Tomas Salgado-Jimenez
Publikováno v:
Applied Sciences
Volume 11
Issue 4
Applied Sciences, Vol 11, Iss 1836, p 1836 (2021)
Volume 11
Issue 4
Applied Sciences, Vol 11, Iss 1836, p 1836 (2021)
Several strategies to deal with the trajectory tracking problem of Unmanned Underwater Vehicles are encountered, from traditional controllers such as Proportional Integral Derivative (PID) or Lyapunov-based, to backstepping, sliding mode, and neural
Autor:
Jesús Arturo Escobedo Cabello, Josué González-García, Enrique Cuan-Urquizo, Tomas Salgado Jimenez, Luis García-Valdovinos, Alfonso GómezEspinosa
Publikováno v:
Sensors; Volume 22; Issue 12; Pages: 4347
The use of autonomous underwater vehicles (AUVs) has expanded in recent years to include inspection, maintenance, and repair missions. For these tasks, the vehicle must maintain its position while inspections or manipulations are performed. Some stat
Autor:
Milton Eduardo Pérez-Alvarado, Alfonso Gómez-Espinosa, Josué González-García, Luis Govinda García-Valdovinos, Tomás Salgado-Jiménez
Publikováno v:
Machines, Vol 12, Iss 10, p 691 (2024)
Nowadays, collaborative operations between Remotely Operated Vehicles (ROVs) face considerable challenges, particularly in leader–follower schemes. The underwater environment imposes limitations on acoustic modems, leading to reduced transmission s
Externí odkaz:
https://doaj.org/article/d6a772cff6e04abd8867aa0e91e6c5aa
Autor:
Rolando A. Hernandez-Hernandez, Uriel Martinez-Hernandez, Tomas Salgado-Jimenez, Adrian Rubio-Solis, L.G. Garcia-Valdovinos, Luciano Nava-Balanzar
Publikováno v:
FUZZ-IEEE
Rubio-Solis, A, Salgado-Jimenez, T, Garcia-Valdovinos, L G, Nava-Balanzar, L, Hernandez-Hernandez, R A & Martinez Hernandez, U 2020, An Evolutionary General Type-2 Fuzzy Neural Network applied to Trajectory Planning in Remotely Operated Underwater Vehicles . in IEEE World Conference on Computational Intelligence ., 9177708, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), vol. 2020, IEEE . https://doi.org/10.1109/FUZZ48607.2020.9177708
Rubio-Solis, A, Salgado-Jimenez, T, Garcia-Valdovinos, L G, Nava-Balanzar, L, Hernandez-Hernandez, R A & Martinez Hernandez, U 2020, An Evolutionary General Type-2 Fuzzy Neural Network applied to Trajectory Planning in Remotely Operated Underwater Vehicles . in IEEE World Conference on Computational Intelligence ., 9177708, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), vol. 2020, IEEE . https://doi.org/10.1109/FUZZ48607.2020.9177708
In this paper, an evolutionary General Type-2 Radial Basis Function Neural Network (GT2-RBFNN) for trajectory planning in Remotely Operated underwater Vehicles (ROVs) is suggested. The GT2-RBFNN is used as a data-driven learning system to orient the