A two-stage dual suboptimal controller for stochastic systems using approximate moments. - André Laurindo Maitelli; Takashi Yoneyama (Autom., 1994)

Suboptimal dual adaptive control for blood pressure management. - André Laurindo Maitelli; Takashi Yoneyama (IEEE Trans. Biomed. Eng., 1997)

A multistage suboptimal dual controller using optimal predictors. - André Laurindo Maitelli; Takashi Yoneyama (IEEE Trans. Autom. Control., 1999)

Interactive Software for Symbolic Modeling of Physical Systems Using Graphs. - André Laurindo Maitelli; Gilbert Azevedo da Silva (ICINCO (2), 2004)

A multi-model approach for bilinear generalized predictive control. - Anderson Luiz de Oliveira Cavalcanti; André Laurindo Maitelli; Adhemar de Barros Fontes (ICINCO-SPSMC, 2007)

Neuro-Fuzzy Control of Nonlinear Systems - Application in a Ball and Beam System. - Marconi Câmara Rodrigues; Fábio Meneghetti Ugulino de Araújo; André Laurindo Maitelli (ICINCO-ICSO, 2009)

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 (ICINCO (3), 2010)

Multiple-Model Identification Using ANFIS for Nonlinear Systems. - Marconi Câmara Rodrigues; Fábio Meneghetti Ugulino de Araújo; André Laurindo Maitelli (SBRN, 2010)

Design of an embedded PID controller applied to blood pressure control. - Anna G. C. D. Ribeiro; André Laurindo Maitelli; Ricardo Alexsandro de Medeiros Valentim; Cicilia Raquel Maia Leite; Heliana B. Soares; Nathalee C. de Almeida; Glaucia R. M. A. Sizilio; Ana M. G. Guerreiro (EMBC, 2011)

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 (ICINCO (1), 2014)

Multiple Model SPGPC for Blood Pressure Control. - Humberto A. Silva; André Laurindo Maitelli; Celina P. Leão; Eurico Seabra (ICINCO (1), 2015)

Multi-proposal utilization of One-Cycle Controller in photovoltaic systems for DC applications. - Joao T. de Carvalho Neto; Andrés O. Salazar; André Laurindo Maitelli (IECON, 2015)

One Cycle Control applied to a stand-alone photovoltaic system for DC microgrid applications. - Joao T. de Carvalho Neto; Andrés O. Salazar; André Laurindo Maitelli (IECON, 2016)

PIG's Speed Estimated with Pressure Transducers and Hall Effect Sensor: An Industrial Application of Sensors to Validate a Testing Laboratory. - Gustavo F. Lima; Victor C. G. Freitas; Renan P. Araújo; André Laurindo Maitelli; Andrés O. Salazar (Sensors, 2017)

Unknown Input Observer-Based Robust Sensor Fault Estimation in Discrete-Time Takagi-Sugeno Systems. - Emanoel R. Q. Chaves; André Laurindo Maitelli; Kennedy R. Lopes (IECON, 2018)

A New Algorithm to Automatic Extraction of Clusters Using Eccentricity and Typicality Analysis. - Kennedy Reurison Lopes; Emanoel R. Q. Chaves; André Laurindo Maitelli; Ana Carla C. Andrade; Bernardo Fonseca A. de Lima (IECON, 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)

Pipeline Inspection Gauge's Velocity Simulation Based on Pressure Differential Using Artificial Neural Networks. - Renan P. Araújo; Victor C. G. Freitas; Gustavo Fernandes De Lima; Andrés O. Salazar; Adrião Duarte Dória Neto; André Laurindo Maitelli (Sensors, 2018)

Explicit GPC Control Applied to an Approximated Linearized Crane System. - Daniel Guerra Vale da Fonseca; André Felipe Oliveira de Azevedo Dantas; Carlos Eduardo Trabuco Dórea; André Laurindo Maitelli (J. Control. Sci. Eng., 2019)

Development of a Methodology Using Artificial Neural Network in the Detection and Diagnosis of Faults for Pneumatic Control Valves. - Ana Carla C. Andrade; Kennedy R. Lopes; Bernardo Fonseca A. de Lima; André Laurindo Maitelli (Sensors, 2021)

Diagnostic of Operation Conditions and Sensor Faults Using Machine Learning in Sucker-Rod Pumping Wells. - João Nascimento; André Laurindo Maitelli; Carla W. S. P. Maitelli; Anderson L. O. Cavalcanti (Sensors, 2021)