This paper is a brief survey on the existing problems and challenges inherent in model-
based control (MBC) theory, and some important issues in the analysis and design of data …

Classical linear time-invariant system simulation methods are based on a transfer function,
impulse response, or input/state/output representation. We present a method for computing …

In recent years, direct data-driven controller tuning methods have been proposed as an
alternative to the standard model-based approach for model-reference control design. In this …

In this work, a new iterative feedback tuning approach is proposed to tune ALINEA's
controller gain automatically when there is not enough prior information available to select a …

In filtering, control, and other mathematical engineering areas, it is common to use a model-
based approach, which splits the problem into two steps: 1) model identification and 2) …

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 …

Industrial robots can be found in many manufacturing applications that suffer from imprecise
position control of their own drive systems due to unknown external disturbances and …

Ionic Polymer Metal Composites (IPMCs) are a novel material that has been the subject of
considerable interest over recent decades because of their unique electrochemical and …

Iterative Feedback Tuning constitutes an attractive control loop tuning method for processes
in the absence of process insight. It is a purely data driven approach for optimization of the …

Iterative feedback tuning (IFT) enables the tuning of feedback controllers using only
measured data to obtain the gradient of a cost criterion. The aim of this paper is to reduce …