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 | 12 | 2020 |
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 | 11 | 2023 |
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 | 11 | 2019 |
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 | 11 | 2011 |
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 | 7 | 2018 |
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 | 6 | 2018 |
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 | 5 | 2014 |
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 | 4 | 2023 |
A novel fuzzy system with adaptive neurons for earthquake modeling AME Ramirez-Mendoza, W Yu, X Li IEEE Access 8, 101369-101376, 2020 | 4 | 2020 |
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 | 2 | 2022 |
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 | 2 | 2021 |
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 | 2 | 2018 |
Modelado Electrónico de dos Neuronas Integradoras Borrosas A Ramírez-Mendoza, M Elena | 2 | 1998 |
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 | | |