The Iterative Feedback Tuning (IFT) is a data-based method for the tuning of restricted-complexity con-trollers. In the classical formulation, the IFT aims at minimizing a certain model-reference criterion in which the reference-model is chosen by the user. This minimization is based on signal information only. In this paper we formulate a new criterion for the IFT method. In the new criterion some freedom is given to the reference-model in order to let it reproduce the features of the unknown plant (i.e. the delay and non-minimum phase zeros) which the controller should not attempt to change. It is shown that using the new criterion corresponds to giving more emphasis to the placement of the closed loop poles.
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The m...
Abstract: Iterative Feedback Tuning (IFT) is a data-based method for the tuning of restricted-comple...
In this paper we study the problem of tracking a reference signal from the H∞ point of vie...
Model reference control design methods fail when the plant has one or more non-minimum phase zeros t...
Abstract — Model Reference control design methods fail when the plant has one or more non minimum ph...
Iterative Feedback Tuning (IFT) is a data-based method for the iterative tuning of restricted comple...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
Optimal performance of process control requires a controller synthesis based on a perfor-mance crite...
International audienceIterative feedback tuning (IFT) is a data-based method for the tuning of restr...
Abstract: Iterative Feedback Tuning (IFT) is used for tuning PID controllers for the case when it is...
Iterative feedback tuning (IFT) is a data-based method for the iterative tuning of restricted comple...
The paper provides a comparison between noniterative direct data-driven control design approaches fo...
A novel algorithm for tuning controllers for nonlinear plants is presented. The algorithm iterativel...
Iterative feedback tuning (IFT) is a data-based method for the optimal tuning of a low order control...
Abstract: The objective of this contribution is to discuss three basic control design methods for di...
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The m...
Abstract: Iterative Feedback Tuning (IFT) is a data-based method for the tuning of restricted-comple...
In this paper we study the problem of tracking a reference signal from the H∞ point of vie...
Model reference control design methods fail when the plant has one or more non-minimum phase zeros t...
Abstract — Model Reference control design methods fail when the plant has one or more non minimum ph...
Iterative Feedback Tuning (IFT) is a data-based method for the iterative tuning of restricted comple...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
Optimal performance of process control requires a controller synthesis based on a perfor-mance crite...
International audienceIterative feedback tuning (IFT) is a data-based method for the tuning of restr...
Abstract: Iterative Feedback Tuning (IFT) is used for tuning PID controllers for the case when it is...
Iterative feedback tuning (IFT) is a data-based method for the iterative tuning of restricted comple...
The paper provides a comparison between noniterative direct data-driven control design approaches fo...
A novel algorithm for tuning controllers for nonlinear plants is presented. The algorithm iterativel...
Iterative feedback tuning (IFT) is a data-based method for the optimal tuning of a low order control...
Abstract: The objective of this contribution is to discuss three basic control design methods for di...
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The m...
Abstract: Iterative Feedback Tuning (IFT) is a data-based method for the tuning of restricted-comple...
In this paper we study the problem of tracking a reference signal from the H∞ point of vie...