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ORCIDFábio M. U. Araújo
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2020 – today
- 2024
[j13]Willians Ribeiro Mendes
, Arthur Moraes E. Videira, Salah Er-Raki, Derek M. Heeren, Ritaban Dutta, Fábio M. U. Araújo:
Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots. IEEE Trans Autom. Sci. Eng. 21(4): 6109-6125 (2024)- 2022
- [j12]Rosana C. B. Rego, Fábio Meneghetti Ugulino de Araújo:
Lyapunov-based continuous-time nonlinear control using deep neural network applied to underactuated systems. Eng. Appl. Artif. Intell. 107: 104519 (2022) - [j11]Romênia Gurgel Vieira, Mahmoud Dhimish, Fábio Meneghetti Ugulino de Araújo, Maria Izabel da Silva Guerra:
Comparing multilayer perceptron and probabilistic neural network for PV systems fault detection. Expert Syst. Appl. 201: 117248 (2022) - [j10]Alcemy Gabriel Vitor Severino, Jean Mário Moreira de Lima, Fábio Meneghetti Ugulino de Araújo:
Industrial Soft Sensor Optimized by Improved PSO: A Deep Representation-Learning Approach. Sensors 22(18): 6887 (2022) - 2021
- [j9]Jean Mário Moreira de Lima, Fábio Meneghetti Ugulino de Araújo:
Ensemble deep relevant learning framework for semi-supervised soft sensor modeling of industrial processes. Neurocomputing 462: 154-168 (2021) - [j8]Jean Mário Moreira de Lima, Fábio Meneghetti Ugulino de Araújo:
Industrial Semi-Supervised Dynamic Soft-Sensor Modeling Approach Based on Deep Relevant Representation Learning. Sensors 21(10): 3430 (2021) - 2020
- [j7]José Medeiros Araújo Júnior, Leandro L. S. Linhares, Fábio M. U. Araújo, Otacílio M. Almeida:
Fuzzy wavelet neural networks applied as inferential sensors of neonatal incubator dynamics. J. Intell. Fuzzy Syst. 39(3): 2567-2579 (2020)
2010 – 2019
- 2019
- [j6]Willians Ribeiro Mendes, Fábio Meneghetti Ugulino de Araújo, Ritaban Dutta, Derek M. Heeren:
Fuzzy control system for variable rate irrigation using remote sensing. Expert Syst. Appl. 124: 13-24 (2019) - [j5]Missilene S. Farias, Willians Ribeiro Mendes, Fábio M. U. Araújo:
Interval type-2 fuzzy servo controller for state feedback of nonlinear systems. J. Intell. Fuzzy Syst. 37(4): 5373-5389 (2019) - 2018
- [j4]Marcio Emanuel Ugulino de Araújo Júnior, João R. T. Gadelha, Welisson M. Santos, André Laurindo Maitelli, Fábio M. U. Araújo:
Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves. J. Control. Sci. Eng. 2018: 1510705:1-1510705:15 (2018) - 2015
- [j3]Leandro L. S. Linhares, José M. Araújo Jr., Fábio M. U. Araújo, Takashi Yoneyama:
A nonlinear system identification approach based on Fuzzy Wavelet Neural Network. J. Intell. Fuzzy Syst. 28(1): 225-235 (2015) - [c8]Alcemy G. V. Severino, Leandro L. S. Linhares, Fábio M. U. de Araújo:
Optimal Design of Digital Low Pass Finite Impulse Response Filter using Particle Swarm Optimization and Bat Algorithm. ICINCO (1) 2015: 207-214 - [c7]José Kleiton Ewerton da Costa Martins, Fábio Meneghetti Ugulino de Araújo:
Nonlinear System Identification based on Modified ANFIS. ICINCO (1) 2015: 588-595 - 2014
- [c6]Diogo C. Nunes, Jan E. M. G. Pinto, Daniel G. V. da Fonseca, André Laurindo Maitelli, Fábio M. U. Araújo:
Relay Based PID Auto-tuning Applied to a Multivariable Level Control System. ICINCO (1) 2014: 741-748 - [c5]Joao T. de Carvalho Neto, Andrés O. Salazar, Fábio M. U. de Araújo, Anderson Luiz de Oliveira Cavalcanti:
Hybrid fuzzy and robust controller applied to a DC-DC boost converter. IECON 2014: 5108-5114 - 2013
- [j2]José Medeiros de Araújo, José Maria Pires de Menezes, Alberto Alexandre Moura de Albuquerque, Otacílio da Mota Almeida, Fábio Meneghetti Ugulino de Araújo:
Assessment and Certification of Neonatal Incubator Sensors through an Inferential Neural Network. Sensors 13(11): 15613-15632 (2013) - [c4]Leandro Luttiane da Silva Linhares, José Medeiros de Araújo, Fábio Meneghetti Ugulino de Araújo:
Nonlinear system identification of a lower limb model by Fuzzy Wavelet Neural Networks. IECON 2013: 3628-3633 - 2010
- [c3]Auciomar C. T. de Cequeira, Marcelo R. B. G. Vale, Daniel G. V. da Fonseca, Fábio Meneghetti Ugulino de Araújo, André Laurindo Maitelli:
Estimation and Compensation of Dead-zone Inherent to the Actuators of Industrial Processes. ICINCO (3) 2010: 62-70 - [c2]Marconi Câmara Rodrigues, Fábio Meneghetti Ugulino de Araújo, André Laurindo Maitelli:
Multiple-Model Identification Using ANFIS for Nonlinear Systems. SBRN 2010: 206-211
2000 – 2009
- 2009
- [c1]Marconi Câmara Rodrigues, Fábio Meneghetti Ugulino de Araújo, André Laurindo Maitelli:
Neuro-Fuzzy Control of Nonlinear Systems - Application in a Ball and Beam System. ICINCO-ICSO 2009: 201-206 - 2003
- [j1]Roberto Kawakami Harrop Galvão, Takashi Yoneyama, Fábio Meneghetti Ugulino de Araújo, Rodolfo Galati Machado:
A simple technique for identifying a linearized model for a didactic magnetic levitation system. IEEE Trans. Educ. 46(1): 22-25 (2003) - 2002
- [b1]Fábio Meneghetti Ugulino de Araújo:
Controladores automáticos inteligentes com aplicações em isolamento de vibrações mecânicas. Instituto Tecnológico de Aeronáutica, Brazil, 2002
Coauthor Index
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