A new ’model-free’ iterative controller tuning method is presented for multiple-inputmultiple output control systems based estimation algorithms in the frequency domain. The method relies on efficient computation of the negative gradient of the controller cost function in the frequency domain. Only one experiment is used per iteration and the method is therefore suitable for realtime implementation by periodic adjustments of the controller. Both feedback and/or feed-forward controllers can be tuned. Primary target application areas can be self-tuning feedforward/feedback controllers in industry where the reference signals are periodic
Iterative feedback tuning (IFT) enables the tuning of feedback controllers based on measured data wi...
A novel algorithm for tuning controllers for nonlinear plants is presented. The algorithm iterativel...
The multivariable tracking accuracy on an automotive vibration test rig can be improved by extending...
Abstract: A new iterative feedback/feedforward tuning (IFFT) method is presented for multiple-input ...
A new iterative feedback/feed-forward tuning (IFFT) method is presented for multiple-input multiple-...
A new gradient estimation method is proposed that relies on efficient computation of the negative gr...
In this contribution, we extend the Iterative Feedback Tuning (IFT) control method of [3, 4] to a mu...
In this paper, a model-free iterative feedback tuning method is presented to tune a frequency domain...
A general gradient estimation method is proposed that relies on the computation of system dynamics a...
This paper provides a novel solution to the problem of tuning linear output feedback model predictiv...
Abstract An iterative controller auto-tuning method based on a frequency criterion is proposed. The...
Abstract: The objective of this contribution is to discuss three basic control design methods for di...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
In this thesis a new adaptive control method, called Iterative Tuning in the Frequency Domain (FD-IT...
This paper presents a frequency domain based approach to tune the penalty weights in the model predi...
Iterative feedback tuning (IFT) enables the tuning of feedback controllers based on measured data wi...
A novel algorithm for tuning controllers for nonlinear plants is presented. The algorithm iterativel...
The multivariable tracking accuracy on an automotive vibration test rig can be improved by extending...
Abstract: A new iterative feedback/feedforward tuning (IFFT) method is presented for multiple-input ...
A new iterative feedback/feed-forward tuning (IFFT) method is presented for multiple-input multiple-...
A new gradient estimation method is proposed that relies on efficient computation of the negative gr...
In this contribution, we extend the Iterative Feedback Tuning (IFT) control method of [3, 4] to a mu...
In this paper, a model-free iterative feedback tuning method is presented to tune a frequency domain...
A general gradient estimation method is proposed that relies on the computation of system dynamics a...
This paper provides a novel solution to the problem of tuning linear output feedback model predictiv...
Abstract An iterative controller auto-tuning method based on a frequency criterion is proposed. The...
Abstract: The objective of this contribution is to discuss three basic control design methods for di...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
In this thesis a new adaptive control method, called Iterative Tuning in the Frequency Domain (FD-IT...
This paper presents a frequency domain based approach to tune the penalty weights in the model predi...
Iterative feedback tuning (IFT) enables the tuning of feedback controllers based on measured data wi...
A novel algorithm for tuning controllers for nonlinear plants is presented. The algorithm iterativel...
The multivariable tracking accuracy on an automotive vibration test rig can be improved by extending...