This paper deals with Data-Driven (DD) control design in a Model Reference (MR)
framework. We present a new DD method for tuning the parameters of a controller with a …

This article presents the application of a data-driven control design to the output voltage
regulation of dc-dc converters. Using only data collected on the plant, a proportional-integral …

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 …

This paper presents a data-driven control method formulated for the disturbance rejection
problem. Inspired on the Virtual Reference Feedback Tuning method, which is based on a …

Virtual Reference Feedback Tuning (VRFT) is a data-driven method for tuning controller
parameters. Recently, VRFT has been extended to multi-loop scheme. This paper applies …

In this paper we discuss an approach for the Virtual Reference Feedback Tuning (VRFT) for
multivariable systems with non-minimum phase transmission zeros. We also present some …

In control applications where finding a model of the plant is costly and time consuming,
direct data-driven approaches represent a valid alternative for the design of model reference …

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 …

Virtual Reference Feedback Tuning (VRFT) is a data-driven technique used to design
controllers without the need of a process model, only input-output data is utilized. When the …

Non-iterative data-driven controller design methods are very convenient for their ease of
implementation and for only using a collected data set for the design. One of these methods …