RAMOS VELASCO, LUIS ENRIQUE

RAMOS VELASCO, LUIS ENRIQUE

INGENIERÍA Y TECNOLOGÍA · Nivel 1

wavelet neural networks nonlinear control intelligent control Man-machine interfaces Brain Computer Interface (BCI) Robot control

Desde 2017 es Professor en Universidad Politécnica Metropolitana de Hidalgo

Luis Enrique Ramos-Velasco was born in Calvillo, Aguascalientes, Mexico. He received the B.S. degree in electronics and telecommunications engineering in 1993 from ESIME-IPN, Zacatenco, Mexico and the M.S. degree in Electrical Engineering in 1996 from the CINVESTAV-IPN, Zacatenco Mexico. He...

Luis Enrique Ramos-Velasco was born in Calvillo, Aguascalientes, Mexico. He received the B.S. degree in electronics and telecommunications engineering in 1993 from ESIME-IPN, Zacatenco, Mexico and the M.S. degree in Electrical Engineering in 1996 from the CINVESTAV-IPN, Zacatenco Mexico. He received the degree of Doctor of Philosophy (Ph.D.) in Control Engineering and Robotics at the Faculty in electrical Engineering of the Czech Technical University in Prague, Prague, Czech Republic in 2002, where he was advised by Professors Vladimír Kučera and Sergej Celikovský. His last researcher work was at the Center for Research on Information Technology and Systems of the Universidad Autónoma del Estado de Hidalgo, Mexico. Currently works at the Metropolitan Polytechnic University of Hidalgo in the aeronautical engineering program and postgraduate in aerospace engineering. His research is focusing in: analysis and synthesis of control schemes for underactuated systems, intelligent control, robot control, man-robot interfaces, holonic manufacturing systems.

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Perfil académico

Nombre LUIS ENRIQUE RAMOS VELASCO
Área INGENIERÍAS Y DESARROLLO TECNOLÓGICO
Campo INGENIERÍA Y TECNOLOGÍA
Disciplina INGENIERÍA MECATRÓNICA
Especialidad ESTABILIDAD Y CONTROL
CVU 31812
Institución
Dependencia CONSEJO DE CIENCIA TECNOLOGIA E INNOVACION DE HIDALGO
Entidad HIDALGO
Nivel 1
Vigencia Inicio: 01/01/2025
Fin: 31/12/2029

Últimas publicaciones Scopus

2026
Output neural modelling: Synthesis and experiments on pneumatic continuum soft robots Applied Mathematical Modelling · Vol. 157 Article
STEAM Training to Master Industry 4.0 and 5.0: Human-Centered Skills for Industry 4.0–5.0 Steam 5 0 and Human Centered Intelligent Learning Ecosystems Book Chapter
2025
Biologically-Inspired Self-Tuning Neuromorphic PID Control for Real-Time Trajectory Tracking of a UAS IFAC Papersonline · Vol. 59 Conference Paper
Output Feedback Self-Tuning PID Using Wavelet Neural Network Identification for Real-Time UASs Trajectory Tracking 2025 IEEE Conference on Control Technology and Applications Ccta 2025 Conference Paper
2024
Knowledge-based self-tuning of PID control gains for continuum soft robots Engineering Applications of Artificial Intelligence · Vol. 133 Article