Lyapunov-based continuous-time nonlinear control using deep neural network applied to underactuated systems RCB REGO, FMU ARAUJO ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022 | 25 | 2022 |
Nonlinear control system with reinforcement learning and neural networks based Lyapunov functions RCB Rego, FMU de Araújo IEEE Latin America Transactions 19 (8), 1253-1260, 2021 | 17 | 2021 |
Learning‐based robust neuro‐control: A method to compute control Lyapunov functions RCB Rego, de Araújo FMU Int J Robust Nonlinear Control, 1-18, 2021 | 16 | 2021 |
Output Feedback Robust Control with Anti-Windup Applied to the 3SSC Boost Converters RCB Rego, MVS Costa IEEE Latin America Transactions 18 (5), 874-880, 2020 | 14 | 2020 |
Predicting gender by first name using character-level machine learning RCB Rego, VML Silva, VM Fernandes arXiv preprint arXiv:2106.10156, 2021 | 8 | 2021 |
Análise e simulação do controlador MPC-AW-LMI aplicado ao conversor CCTE operando em condições de saturação no sinal de controle RCB Rego, MVS Costa, FEU Reis, RPT Bascopé XXII Congresso Brasileiro de Automática, 2018 | 8 | 2018 |
Predicting Gender of Brazilian Names Using Deep Learning RCB Rego, VML Silva arXiv preprint arXiv:2106.10156, 2021 | 7 | 2021 |
Offline output feedback robust anti-windup MPC-LPV using relaxed LMI optimization RCB Rego, MVS Costa European Journal of Control 69, 100719, 2023 | 6 | 2023 |
LPV modeling of boost converter and gain scheduling MPC control RCB Rego 2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern …, 2019 | 6 | 2019 |
Controle MPC robusto com anti-windup aplicado a sistemas LPV e LTV baseado no algoritmo quasi-min-max com relaxação em LMIS RCB Rego Universidade Federal Rural do Semi-Árido, 2019 | 6 | 2019 |
Presence sensor for people detection and reduction of pedestrian waiting time in traffic light RCB Rego, RS Semente BTSym 2018 Proceedings. 1, 2018 | 5 | 2018 |
Brazilian scientific productivity from a gender perspective during the Covid-19 pandemic: classification and analysis via machine learning RCB Rego, G da Silva Nascimento, DE de Lima Rodrigues, ... IEEE Latin America Transactions 100, 2022 | 4 | 2022 |
Tube MPC applied to 3SSC boost converter with time-varying parameters disturbance RCB Rego, TBS Moreira, FG Nogueira, MVS Costa 12th Seminar on Power Electronics and Control, 2019 | 4 | 2019 |
Robust control with an anti-windup technique based in relaxed LMI conditions for LTV system RCB Rego, MVS Costa International Journal of Modelling, Identification and Control 35 (4), 298-304, 2020 | 3 | 2020 |
Análise comparativa entre controlador GPC-T e MPC-LMI com Anti-Windup LMI aplicado em conversor Boost CCTE TBS Moreira, RCB Rego, CSN Rios, FG Nogueira, MVS Costa 12th Seminar on Power Electronics and Control, 2019 | 3 | 2019 |
Thyroid syndrome detection using machine learning algorithms: A comparative analysis CM Cavalcante, VA Almeida, M Barros, N Lima, RC Rego XVI Brazilian Conference on Computational Intelligence (CBIC 2023), 2023 | 2 | 2023 |
Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting Approach R Rego | 2 | 2023 |
Lyapunov-based intelligent control RCB Rego | 1 | 2022 |
An offline predictive control with ellipsoid invariant set for time-variant system RCB Rego, MVS Costa International Journal of Modelling, Identification and Control 37 (2), 121-127, 2021 | 1 | 2021 |
Presence Sensors: A Comparison Between the Ultrasonic and the Infrared in the Detection of People and Vehicles SRS Rego R.C.B. Proceedings of the 5th Brazilian Technology Symposium. BTSym 2019. Smart …, 2020 | 1 | 2020 |