| 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 | 16 | 2023 |
| 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 | 15 | 2020 |
| 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 | 13 | 2011 |
| 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 |
| 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 | 10 | 2018 |
| 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 | 9 | 2023 |
| A novel fuzzy system with adaptive neurons for earthquake modeling AME Ramirez-Mendoza, W Yu, X Li IEEE Access 8, 101369-101376, 2020 | 7 | 2020 |
| 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 | 7 | 2014 |
| 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 |
| 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 | 5 | 2021 |
| A novel learning algorithm for Adaptive Fuzzy Neural Networks: Application to the neuro-fuzzy design of control law for a PID controller AME Ramírez-Mendoza, W Yu Soft Comput, 0 | 5 | |
| 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 |
| 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 |
| IMPLEMENTATION OF FUZZY ADAPTIVE NEURONAL CONTROL APPLIED TO TRAJECTORY TRACKING OF AN AUTONOMOUS UNMANNED SURFACE VEHICLE AME RAMÍREZ MENDOZA, F MUÑOZ PALACIOS, WEN YU DYNA, 2024 | | 2024 |
| Modelo simplificado del sistema de propulsión para un DAVP con una perturbación y estimación de la eficiencia de la potencia. AME Ramírez-Mendoza, W Yu DYNA-Ingeniería e Industria 97 (5), 2022 | | 2022 |
| Modelo simplificado del sistema de propulsión para un DAVP con una perturbación y estimación de la eficiencia de la potencia 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 JR Covarrubias-Fabela, LA Amezquita-Brooks, D Hernández-Alcántara DYNA 93 (1), 75-81, 2018 | | 2018 |
| DISEÑO DE UN MICROCIRCUITO DE UNA NEURONA BORROSA AMER MENDOZA | | |
Wen YuCINVESTAV-IPN在 ctrl.cinvestav.mx 的电子邮件经过验证
