In this contribution, we extend the Iterative Feedback Tuning (IFT) control method of [3, 4] to a multivariable setting. We report on an experimental study with this method when applied to a Single-Input-Multiple-Output torsional laboratory setup. Keywords: Optimal control, estimation, laboratory application 1 Introduction A torsional control system available in the Department of Sytems Engineering at the Australian National University has been considered as a test case for an extension of a recently developed model-free, optimization and experiment based control design scheme; we refer the reader to [3, 4] for further information. This method, acronymed Iterative Feedback Tuning (IFT) by its inventors is based on an iterative tuning of ...
A new iterative feedback/feed-forward tuning (IFFT) method is presented for multiple-input multiple-...
The multivariable tracking accuracy on an automotive vibration test rig can be improved by extending...
Abstract: This paper is concerned with iterative feedback tuning for Hamiltonian systems. Hamiltonia...
Optimal performance of process control requires a controller synthesis based on a perfor-mance crite...
A new ’model-free’ iterative controller tuning method is presented for multiple-inputmultiple output...
Iterative feedback tuning (IFT) enables the tuning of feedback controllers based on measured data wi...
Iterative feedback tuning (IFT) is a data-based method for the optimal tuning of a low order control...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
Abstract- Iterative Feedback Tuning is a purely data driven tuning algorithm for optimizing control ...
Abstract: A new iterative feedback/feedforward tuning (IFFT) method is presented for multiple-input ...
This paper describes the development of a multivariable input, multivariable output (MIMO) experimen...
Abstract—This paper investigates the applicability of Iterative Feedback Tuning (IFT) to the level c...
Abstract: The objective of this contribution is to discuss three basic control design methods for di...
Iterative Feedback Tuning (IFT) is a data-based method for the iterative tuning of restricted comple...
This paper investigates the applicability of Iterative Feedback Tuning (IFT) to the level control of...
A new iterative feedback/feed-forward tuning (IFFT) method is presented for multiple-input multiple-...
The multivariable tracking accuracy on an automotive vibration test rig can be improved by extending...
Abstract: This paper is concerned with iterative feedback tuning for Hamiltonian systems. Hamiltonia...
Optimal performance of process control requires a controller synthesis based on a perfor-mance crite...
A new ’model-free’ iterative controller tuning method is presented for multiple-inputmultiple output...
Iterative feedback tuning (IFT) enables the tuning of feedback controllers based on measured data wi...
Iterative feedback tuning (IFT) is a data-based method for the optimal tuning of a low order control...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
Abstract- Iterative Feedback Tuning is a purely data driven tuning algorithm for optimizing control ...
Abstract: A new iterative feedback/feedforward tuning (IFFT) method is presented for multiple-input ...
This paper describes the development of a multivariable input, multivariable output (MIMO) experimen...
Abstract—This paper investigates the applicability of Iterative Feedback Tuning (IFT) to the level c...
Abstract: The objective of this contribution is to discuss three basic control design methods for di...
Iterative Feedback Tuning (IFT) is a data-based method for the iterative tuning of restricted comple...
This paper investigates the applicability of Iterative Feedback Tuning (IFT) to the level control of...
A new iterative feedback/feed-forward tuning (IFFT) method is presented for multiple-input multiple-...
The multivariable tracking accuracy on an automotive vibration test rig can be improved by extending...
Abstract: This paper is concerned with iterative feedback tuning for Hamiltonian systems. Hamiltonia...