Unbiased MIMO VRFT with application to process control

L Campestrini, D Eckhard, LA Chía, E Boeira - Journal of Process Control, 2016 - Elsevier
Continuous process industries usually have hundreds to thousands of control loops, most of
which are coupled, ie one control loop affects the behavior of another control loop. In order …

On the choice of an appropriate reference model for control of multivariable plants

GRG da Silva, AS Bazanella… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The choice of the reference model is the main task to be performed by the designer in a
model reference control design. A poor choice of the reference model may result in a closed …

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 …

One-shot data-driven controller certification

GRG da Silva, AS Bazanella, L Campestrini - ISA transactions, 2020 - Elsevier
We present a one-shot, purely data-driven, method for controller certification. The method is
based on an analysis presented in previous works, where theoretical results have been …

Multivariable virtual reference feedback tuning for non-minimum phase plants

GRG da Silva, L Campestrini… - IEEE Control Systems …, 2017 - ieeexplore.ieee.org
When applying model reference control to a non-minimum phase (NMP) plant, it is important
to include the NMP (transmission) zero (s) in the reference model, otherwise the controller …

Data-driven control design by prediction error identification for multivariable systems

DD Huff, L Campestrini, GR Gonçalves da Silva… - Journal of Control …, 2019 - Springer
This paper deals with data-driven control design in a model reference framework for
multivariable systems. Based on a single batch of input–output data collected from the …

Improved PI neural network-based tension control for stranded wire helical springs manufacturing

Q Zhang, S Wang, A Zhang, J Zhou, Q Liu - Control Engineering Practice, 2017 - Elsevier
During the winding process of stranded wire helical springs (SWHSs), uneven wire tension
always results in high rejection rate and non-compliance service life of SWHSs. Combining …

Comparing MIMO process control methods on a pilot plant

E Boeira, V Bordignon, D Eckhard… - Journal of Control …, 2018 - Springer
This work presents a comparison among three different control strategies for multivariable
processes. The techniques were implemented in a pilot plant with coupled control loops …

Data-Driven control design by prediction error identification for a refrigeration system based on vapor compression

DD Huff, GRG da Silva, L Campestrini - IFAC-PapersOnLine, 2018 - Elsevier
This paper deals with data-driven control design in a Model Reference (MR) framework for
multivariable systems. Based on a batch of input-output data collected on the process, a …

Data-Driven Robust Servo Tuning Method Using Fractional-Order PID Controller

K Jinai, N Kawaguchi, O Arrieta, T Sato - IFAC-PapersOnLine, 2024 - Elsevier
This paper proposes a data-driven method using a Fractional-Order Proportional-Integral-
Derivative (FOPID) controller. The proposed method simultaneously obtains FOPID …