Unbiased MIMO VRFT with application to process control L Campestrini, D Eckhard, LA Chía, E Boeira Journal of Process Control 39, 35-49, 2016 | 73 | 2016 |
Virtual disturbance feedback tuning D Eckhard, L Campestrini, EC Boeira IFAC Journal of Systems and Control 3, 23-29, 2018 | 30 | 2018 |
pyvrft: A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method E Boeira, D Eckhard SoftwareX 11, 100383, 2020 | 9 | 2020 |
Comparing MIMO Process Control Methods on a Pilot Plant E Boeira, V Bordignon, D Eckhard, L Campestrini Journal of Control, Automation and Electrical Systems 29 (3), 411–425, 2018 | 9 | 2018 |
Sintonia de controladores multivariáveis pelo método da referência virtual com regularização Bayesiana EC Boeira | 3 | 2018 |
Multivariable Virtual Reference Feedback Tuning with Bayesian regularization EC Boeira, D Eckhard XXII Congresso Brasileiro de Automática, 2018 | 3 | 2018 |
Data-driven control design for load disturbance rejection by prediction error identification S Ricardo Filho, EC Boeira, L Campestrini, D Eckhard 2021 Australian & New Zealand Control Conference (ANZCC), 92-97, 2021 | 2 | 2021 |
The Optimal Regularized Weighted Least-Squares Method for Impulse Response Estimation E Boeira, D Eckhard Journal of Control, Automation and Electrical Systems 34 (2), 302-314, 2023 | 1 | 2023 |
Regularized impulse response estimation for systems with colored output noise EC Boeira, D Eckhard 2021 Australian & New Zealand Control Conference (ANZCC), 18-23, 2021 | 1 | 2021 |
Projeto de controladores descentralizados em um processo de nível multivariável através do método do ponto crítico EC Boeira | 1 | 2016 |
Aplicação de métodos de controle baseado em dados em um sistema de controle de nível industrial D Eckhard, L Campestrini, E Boeira, JM Gomes da Silva Jr XVI Congreso Latinoamericano de Control Automático, 2014 | 1 | 2014 |
An optimal regularized instrumental variable method for errors-in-variables identification EC Boeira, D Eckhard 2021 60th IEEE Conference on Decision and Control (CDC), 1592-1597, 2021 | | 2021 |