Diego Eckhard

Orcid: 0000-0001-8557-0384

Affiliations:
  • Federal University of Rio Grande do Sul, Department of Pure and Applied Mathematics, Porto Alegre, Brazil


According to our database1, Diego Eckhard authored at least 29 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
The data-driven approach to classical control theory.
Annu. Rev. Control., January, 2023

Data-driven load disturbance rejection.
CoRR, 2023

2022
Nonlinear VRFT with LASSO.
CoRR, 2022

Uniqueness of Induction Machine Parameters Estimated from Data-Identifiability, Priors and Prediction Error Identification.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

An introduction to Data-Driven control, from kernels to behaviors.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
An optimal regularized instrumental variable method for errors-in-variables identification.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Data-driven Correlation Approach Applied to Load Disturbance Rejection in a Thermal Process.
Proceedings of the 2021 Australian & New Zealand Control Conference, 2021

Data-driven control design for load disturbance rejection by prediction error identification.
Proceedings of the 2021 Australian & New Zealand Control Conference, 2021

Regularized impulse response estimation for systems with colored output noise.
Proceedings of the 2021 Australian & New Zealand Control Conference, 2021

2020
pyvrft: A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method.
SoftwareX, 2020

PI-based and anti-windup transmission power control for WirelessHART field devices.
IET Wirel. Sens. Syst., 2020

Data-driven Controller Certification through Vinnicombe Test and Local Rational Models.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Extension of the Correlation-based Tuning Method for Load Disturbance Rejection.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Virtual disturbance feedback tuning.
IFAC J. Syst. Control., 2018

2017
Data-driven model reference control design by prediction error identification.
J. Frankl. Inst., 2017

Cost function shaping of the output error criterion.
Autom., 2017

2016
Iterative feedback tuning for cascade systems.
Proceedings of the 15th European Control Conference, 2016

Disturbance observer and nonlinear damping control for fast tracking quadrotor vehicles.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

Modified MIMO Resonant Controller robust to period variation and parametric uncertainty.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

Application of Virtual Reference Feedback Tuning to a non-minimum phase pilot plant.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Bluetooth Enabled Data Collector for Wireless Sensor Networks.
Proceedings of the 2015 Brazilian Symposium on Computing Systems Engineering, 2015

2013
Dynamic output feedback stabilization for systems with sector-bounded nonlinearities and saturating actuators.
J. Frankl. Inst., 2013

Input design as a tool to improve the convergence of PEM.
Autom., 2013

2012
Optimizing the convergence of data-based controller tuning.
J. Syst. Control. Eng., 2012

Robust convergence of the steepest descent method for data-based control.
Int. J. Syst. Sci., 2012

2011
Virtual Reference Feedback Tuning for non-minimum phase plants.
Autom., 2011

2010
Data-based controller tuning: Improving the convergence rate.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Data-based control design for a process class with guaranteed convergence to the globally optimum controller.
Proceedings of the 10th European Control Conference, 2009

A neural network strategy applied in autonomous mobile localization.
Proceedings of the 10th European Control Conference, 2009


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