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Iterative feedback tuning—an overview
H Hjalmarsson - International journal of adaptive control and …, 2002 - Wiley Online Library
Adaptive and iterative control algorithms based on explicit criterion minimization are briefly
reviewed and an overview of one such algorithm, iterative feedback tuning (IFT), is …
reviewed and an overview of one such algorithm, iterative feedback tuning (IFT), is …
The data-driven approach to classical control theory
AS Bazanella, L Campestrini, D Eckhard - Annual Reviews in Control, 2023 - Elsevier
A data-driven approach to control design has been develo**, since the early 1990's, upon
the concepts and the methods of classical control theory; to this approach we refer as data …
the concepts and the methods of classical control theory; to this approach we refer as data …
[ספר][B] Data-driven controller design: the H2 approach
AS Bazanella, L Campestrini, D Eckhard - 2011 - books.google.com
Data-Based Controller Design presents a comprehensive analysis of data-based control
design. It brings together the different data-based design methods that have been presented …
design. It brings together the different data-based design methods that have been presented …
Virtual reference feedback tuning for non-minimum phase plants
L Campestrini, D Eckhard, M Gevers, AS Bazanella - Automatica, 2011 - Elsevier
Model reference control design methods fail when the plant has one or more non-minimum
phase zeros that are not included in the reference model, leading possibly to an unstable …
phase zeros that are not included in the reference model, leading possibly to an unstable …
AutoDDC: Hyperparameter tuning for direct data-driven control
V Breschi, S Formentin - IEEE Control Systems Magazine, 2023 - ieeexplore.ieee.org
AutoDDC: Hyperparameter Tuning for Direct Data-Driven Control Page 1 1066-033X/23©2023IEEE
98 IEEE CONTROL SYSTEMS » DECEMBER 2023 VALENTINA BRESCHI and SIMONE …
98 IEEE CONTROL SYSTEMS » DECEMBER 2023 VALENTINA BRESCHI and SIMONE …
Iterative minimization of H2 control performance criteria
AS Bazanella, M Gevers, L Mišković, BDO Anderson - Automatica, 2008 - Elsevier
Data-based control design methods most often consist of iterative adjustment of the
controller's parameters towards the parameter values which minimize an H2 performance …
controller's parameters towards the parameter values which minimize an H2 performance …
Improving convergence of iterative feedback tuning
JK Huusom, NK Poulsen, SB Jørgensen - Journal of Process Control, 2009 - Elsevier
Iterative Feedback Tuning constitutes an attractive control loop tuning method for processes
in the absence of an accurate process model. It is a purely data driven approach aiming at …
in the absence of an accurate process model. It is a purely data driven approach aiming at …
A non-iterative approach to direct data-driven control design of MIMO LTI systems
M Abuabiah, V Cerone, S Pirrera, D Regruto - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a non-iterative direct data-driven technique that deals with linear time-
invariant (LTI) controller design by directly identifying the controller from input-output data …
invariant (LTI) controller design by directly identifying the controller from input-output data …
Fictitious reference iterative tuning for non-minimum phase systems in the IMC architecture: Simultaneous attainment of controllers and models
This paper provides a practical and meaningful application of controller parameter tuning.
Here, we propose a simultaneous attainment of a desired controller and a mathematical …
Here, we propose a simultaneous attainment of a desired controller and a mathematical …
[HTML][HTML] Auto-tuning of reference models in direct data-driven control
D Masti, V Breschi, S Formentin, A Bemporad - Automatica, 2023 - Elsevier
Designing controllers directly from data often requires choosing a reference closed-loop
model, whose behavior should be reproduced as tightly as possible by the actual closed …
model, whose behavior should be reproduced as tightly as possible by the actual closed …