Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Carlos Sotelo"'
Autor:
Francisco Beltran-Carbajal, Hugo Yanez-Badillo, Daniel Galvan-Perez, Ivan Rivas-Cambero, David Sotelo, Carlos Sotelo
Publikováno v:
IEEE Access, Vol 12, Pp 101679-101700 (2024)
Artificial intelligence stands for an excellent alternative to be considered in development of new adaptive high-efficiency control design methodologies for uncertain modern complex engineering systems driven by electric motors. In this sense, artifi
Externí odkaz:
https://doaj.org/article/4ff860d49d484ed5a676db44b639a96c
Autor:
Patricio Borbolla-Burillo, David Sotelo, Michael Frye, Luis E. Garza-Castañón, Luis Juárez-Moreno, Carlos Sotelo
Publikováno v:
Mathematics, Vol 12, Iss 5, p 739 (2024)
Modeling and control are challenging in unmanned aerial vehicles, especially in quadrotors where there exists high coupling between the position and the orientation dynamics. In simulations, conventional control strategies such as the use of a propor
Externí odkaz:
https://doaj.org/article/7a7b51a9353840778f207eb9cc3400dd
Autor:
Francisco Beltran-Carbajal, Juan Eduardo Esquivel-Cruz, Hugo Yañez-Badillo, Ivan de Jesus Rivas-Cambero, David Sotelo, Carlos Sotelo
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2838 (2023)
An on-line estimation technique of multiple-frequency oscillatory forces combined with the Hilbert–Huang transform for an important class of actively controlled, forced vibrating mechanical systems with nonlinear stiffness forces is proposed. Polyn
Externí odkaz:
https://doaj.org/article/fafd3527832648cba7c567400ac1f5db
Autor:
Francisco Beltran-Carbajal, Hugo Yañez-Badillo, Ruben Tapia-Olvera, Julio C. Rosas-Caro, Carlos Sotelo, David Sotelo
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2272 (2023)
A new adaptive-like neural control strategy for motion reference trajectory tracking for a nonlinear electromagnetic suspension dynamic system is introduced. Artificial neural networks, differential flatness and sliding modes are strategically integr
Externí odkaz:
https://doaj.org/article/161495987ef64c4faee3d6e51beb1e22
Autor:
Clara Sanchez-Perez, Caroline E. Knapp, Ross H. Colman, Carlos Sotelo-Vazquez, Sanjayan Sathasivam, Raija Oilunkaniemi, Risto S. Laitinen, Claire J. Carmalt
Publikováno v:
ACS Omega, Vol 5, Iss 26, Pp 15799-15804 (2020)
Externí odkaz:
https://doaj.org/article/e8b834a9cd2f43c68f67467082c4b649
Autor:
Daniel Rodriguez-Guevara, Antonio Favela-Contreras, Francisco Beltran-Carbajal, Carlos Sotelo, David Sotelo
Publikováno v:
Mathematics, Vol 11, Iss 4, p 1067 (2023)
Controlling an automotive suspension system using an actuator is a complex nonlinear problem that requires both fast and precise solutions in order to achieve optimal performance. In this work, the nonlinear model of a quarter-car active suspension i
Externí odkaz:
https://doaj.org/article/37c0fcb350884da8bc4d45b9d2d7ce8b
Autor:
David Sotelo, Antonio Favela-Contreras, Alfonso Avila, Arturo Pinto, Francisco Beltran-Carbajal, Carlos Sotelo
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2571 (2022)
Embedded controllers for multivariable processes have become a powerful tool in industrial implementations. Here, the Model Predictive Control offers higher performances than standard control methods. However, they face low computational resources, w
Externí odkaz:
https://doaj.org/article/242b18182ee047849e5ddbf262f5c4a7
Autor:
Daniel Rodriguez-Guevara, Antonio Favela-Contreras, Francisco Beltran-Carbajal, Carlos Sotelo, David Sotelo
Publikováno v:
Machines, Vol 10, Iss 2, p 137 (2022)
The active suspension system of a vehicle manipulated using electro-hydraulic actuators is a challenging nonlinear control problem. In this research work, a novel Linear Parameter Varying (LPV) State-Space (SS) model with a fictional input is propose
Externí odkaz:
https://doaj.org/article/7c2346b91fa0443b847b72f9841ef172
Autor:
Daniel Rodriguez-Guevara, Antonio Favela-Contreras, Francisco Beltran-Carbajal, David Sotelo, Carlos Sotelo
Publikováno v:
Mathematics, Vol 9, Iss 20, p 2533 (2021)
The control of an automotive suspension system by means of a hydraulic actuator is a complex nonlinear control problem. In this work, a linear parameter varying (LPV) model is proposed to reduce the complexity of the system while preserving the nonli
Externí odkaz:
https://doaj.org/article/16d96b15f8c3415ab3a82b45b230a888
Autor:
Hugo Yañez-Badillo, Francisco Beltran-Carbajal, Ruben Tapia-Olvera, Antonio Favela-Contreras, Carlos Sotelo, David Sotelo
Publikováno v:
Mathematics, Vol 9, Iss 19, p 2367 (2021)
Most of the mechanical dynamic systems are subjected to parametric uncertainty, unmodeled dynamics, and undesired external vibrating disturbances while are motion controlled. In this regard, new adaptive and robust, advanced control theories have bee
Externí odkaz:
https://doaj.org/article/af2a7e5413cd45ec8a655bd35525cd36