Fábio M. U. Araújo

According to our database, Fábio M. U. Araújo authored at least 21 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Industrial Soft Sensor Optimized by Improved PSO: A Deep Representation-Learning Approach.

Alcemy Gabriel Vitor Severino, Jean Mário Moreira de Lima, Fábio Meneghetti Ugulino de Araújo

Sensors, 2022

Comparing multilayer perceptron and probabilistic neural network for PV systems fault detection.

Romênia Gurgel Vieira, Mahmoud Dhimish, Fábio Meneghetti Ugulino de Araújo, Maria Izabel da Silva Guerra

Expert Syst. Appl., 2022

Lyapunov-based continuous-time nonlinear control using deep neural network applied to underactuated systems.

Rosana C. B. Rego, Fábio Meneghetti Ugulino de Araújo

Eng. Appl. Artif. Intell., 2022

2021

Industrial Semi-Supervised Dynamic Soft-Sensor Modeling Approach Based on Deep Relevant Representation Learning.

Jean Mário Moreira de Lima, Fábio Meneghetti Ugulino de Araújo

Sensors, 2021

Ensemble deep relevant learning framework for semi-supervised soft sensor modeling of industrial processes.

Jean Mário Moreira de Lima, Fábio Meneghetti Ugulino de Araújo

Neurocomputing, 2021

2020

Fuzzy wavelet neural networks applied as inferential sensors of neonatal incubator dynamics.

José M. Araújo Júnior, Leandro L. S. Linhares, Fábio M. U. Araújo, Otacílio M. Almeida

J. Intell. Fuzzy Syst., 2020

2019

Interval type-2 fuzzy servo controller for state feedback of nonlinear systems.

Missilene S. Farias, Willians Ribeiro Mendes, Fábio M. U. Araújo

J. Intell. Fuzzy Syst., 2019

Fuzzy control system for variable rate irrigation using remote sensing.

Willians Ribeiro Mendes, Fábio Meneghetti Ugulino de Araújo, Ritaban Dutta, Derek M. Heeren

Expert Syst. Appl., 2019

2018

Nonlinear Predictive Control System for Stiction Compensation in Electropneumatic Control Valves.

Marcio Emanuel Ugulino de Araújo Júnior, João R. T. Gadelha, Welisson M. Santos, André Laurindo Maitelli, Fábio M. U. Araújo

J. Control. Sci. Eng., 2018

2015

A nonlinear system identification approach based on Fuzzy Wavelet Neural Network.

Leandro L. S. Linhares, José M. Araújo Jr., Fábio M. U. Araújo, Takashi Yoneyama

J. Intell. Fuzzy Syst., 2015

Optimal Design of Digital Low Pass Finite Impulse Response Filter using Particle Swarm Optimization and Bat Algorithm.

Alcemy G. V. Severino, Leandro L. S. Linhares, Fábio M. U. de Araújo

Proceedings of the ICINCO 2015, 2015

Nonlinear System Identification based on Modified ANFIS.

José Kleiton Ewerton da Costa Martins, Fábio Meneghetti Ugulino de Araújo

Proceedings of the ICINCO 2015, 2015

2014

Hybrid fuzzy and robust controller applied to a DC-DC boost converter.

Joao T. de Carvalho Neto, Andrés O. Salazar, Fábio M. U. de Araújo, Anderson Luiz de Oliveira Cavalcanti

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Relay Based PID Auto-tuning Applied to a Multivariable Level Control System.

Diogo C. Nunes, Jan E. M. G. Pinto, Daniel G. V. da Fonseca, André Laurindo Maitelli, Fábio M. U. Araújo

Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Vienna, Austria, 1, 2014

2013

Assessment and Certification of Neonatal Incubator Sensors through an Inferential Neural Network.

José Medeiros de Araújo, José Maria Pires de Menezes, Alberto Alexandre Moura de Albuquerque, Otacílio da Mota Almeida, Fábio Meneghetti Ugulino de Araújo

Sensors, 2013

Nonlinear system identification of a lower limb model by Fuzzy Wavelet Neural Networks.

Leandro Luttiane da Silva Linhares, José Medeiros de Araújo, Fábio Meneghetti Ugulino de Araújo

Proceedings of the IECON 2013, 2013

2010

Multiple-Model Identification Using ANFIS for Nonlinear Systems.

Marconi Câmara Rodrigues, Fábio Meneghetti Ugulino de Araújo, André Laurindo Maitelli

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Estimation and Compensation of Dead-zone Inherent to the Actuators of Industrial Processes.

Auciomar C. T. de Cequeira, Marcelo R. B. G. Vale, Daniel G. V. da Fonseca, Fábio Meneghetti Ugulino de Araújo, André Laurindo Maitelli

Proceedings of the ICINCO 2010, 2010

2009

Neuro-Fuzzy Control of Nonlinear Systems - Application in a Ball and Beam System.

Marconi Câmara Rodrigues, Fábio Meneghetti Ugulino de Araújo, André Laurindo Maitelli

Proceedings of the ICINCO 2009, 2009

2003

A simple technique for identifying a linearized model for a didactic magnetic levitation system.

Roberto Kawakami Harrop Galvão, Takashi Yoneyama, Fábio Meneghetti Ugulino de Araújo, Rodolfo Galati Machado

IEEE Trans. Educ., 2003

2002

Controladores automáticos inteligentes com aplicações em isolamento de vibrações mecânicas.

Fábio Meneghetti Ugulino de Araújo

PhD thesis, 2002