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Abigail Ramírez Mendoza
Abigail Ramírez Mendoza
Unknown affiliation
Verified email at cinvestav.mx
Title
Cited by
Cited by
Year
Fuzzy adaptive neurons applied to the identification of parameters and trajectory tracking control of a multi-rotor unmanned aerial vehicle based on experimental aerodynamic data
AME Ramírez-Mendoza, JR Covarrubias-Fabela, LA Amezquita-Brooks, ...
Journal of Intelligent & Robotic Systems 100, 647-665, 2020
122020
Fuzzy Adaptive Control Law for Trajectory Tracking Based on a Fuzzy Adaptive Neural PID Controller of a Multi-rotor Unmanned Aerial Vehicle.
Ramírez Mendoza A.M.E., Yu W.
Int. J. Control Autom. Syst. 21, 658–670, 2023
112023
Improved model for micro-UAV propulsion systems: Characterization and applications
L Amezquita-Brooks, D Hernandez-Alcantara, C Santana-Delgado, ...
IEEE Transactions on Aerospace and Electronic Systems 56 (3), 2174-2197, 2019
112019
Electronic implementation of a fuzzy neuron model with a Gupta integrator
A Ramírez-Mendoza, JL Pérez-Silva, F Lara-Rosano
Journal of applied research and technology 9 (3), 380-393, 2011
112011
Parameter identification using fuzzy neurons: Application to drones and induction motors
AMER Mendoza, JRC Fabela, LA Amezquita-Brooks, DH Alcántara
Dyna (Spain) 93 (1), 75-81, 2018
72018
Modeling the spike response for adaptive fuzzy spiking neurons with application to a fuzzy XOR
AME Ramírez-Mendoza
Computer Modeling in Engineering & Sciences 115 (3), 295-311, 2018
62018
Study of the response of the connection of Adaptive Fuzzy Spiking Neurons with self-synapse in each single neuron
A Ramírez-Mendoza
2014 11th International Conference on Electrical Engineering, Computing …, 2014
52014
A new spike membership function for the recognition and processing of spatiotemporal spike patterns: syllable-based speech recognition application
AME Ramírez-Mendoza, W Yu, X Li
Mathematics 11 (11), 2525, 2023
42023
A novel fuzzy system with adaptive neurons for earthquake modeling
AME Ramirez-Mendoza, W Yu, X Li
IEEE Access 8, 101369-101376, 2020
42020
Simplified model of the propulsion system for a DAVP with a disturbance and estimate of power efficiency
AME Ramirez-Mendoza, W Yu
DYNA 97 (5), 470-474, 2022
22022
Fuzzy identification of systems based on adaptive neurons
AME Ramírez-Mendoza, W Yu, X Li
Journal of Intelligent & Fuzzy Systems 40 (6), 10767-10779, 2021
22021
Design of a PID controller based on Adaptive Fuzzy Spiking Neurons
AME Ramírez-Mendoza
Memories of the National Congress of Automatic Control (CNCA), 2594-2492, 2018
22018
Modelado Electrónico de dos Neuronas Integradoras Borrosas
A Ramírez-Mendoza, M Elena
21998
Modelo simplificado del sistema de propulsión para un DAVP con una perturbación y estimación de la eficiencia de la potencia
AMER Mendoza, W Yu
DYNA 97 (5), 470-474, 2022
2022
Identificación de parámetros con neuronas difusas: aplicación a drones y motores de inducción.
AME Ramírez-Mendoza, JR Covarrubias-Fabela, LA Amezquita-Brooks, ...
DYNA-Ingeniería e Industria 93 (1), 2018
2018
Identificación de parámetros con neuronas difusas: Aplicación a drones y motores de inducción
AMER Mendoza, JRC Fabela, LAA BROOKS, DH Alcántara
DYNA 93 (1), 75-81, 2018
2018
DISEÑO DE UN MICROCIRCUITO DE UNA NEURONA BORROSA
AMER MENDOZA
DOS NUEVOS MODELOS DE NEURONA BORROSA INTEGRADORA
JLP Silva, AR Mendoza
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Articles 1–18