The aim of this paper is to extend iterative feedback tuning (IFT), which is a databased approach for controller tuning, with robustness constraints. Hereto a constrained IFT problem is formulated that is solved by introducing a penalty function. Essentially, the gradient estimates decompose into (a) the well-known IFT gradients and (b) the gradients with respect to this penalty function. Experimental results obtained from the motion control systems of an industrial wafer scanner confirm enhanced performance with guaranteed robustness properties
In direct data-driven controller tuning, a mathematical model of the plant is not needed, as the con...
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 ...
The aim of this paper is to extend iterative feedback tuning (IFT), which is a databased approach fo...
The aim of this paper is to extend iterative feedback tuning (IFT), which is a data- based approach ...
Iterative feedback tuning (IFT) enables the data-driven tuning of controller parameters without the ...
Optimal performance of process control requires a controller synthesis based on a perfor-mance crite...
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The m...
Iterative Feedback Tuning (IFT) is a data-based method for the iterative tuning of restricted comple...
Toward improved performance of fast and nanoaccurate motion systems an iterative tuning procedure fo...
In direct data-driven controller tuning, a mathematical model of the plant is not needed, as the con...
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 ...
The aim of this paper is to extend iterative feedback tuning (IFT), which is a databased approach fo...
The aim of this paper is to extend iterative feedback tuning (IFT), which is a data- based approach ...
Iterative feedback tuning (IFT) enables the data-driven tuning of controller parameters without the ...
Optimal performance of process control requires a controller synthesis based on a perfor-mance crite...
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The m...
Iterative Feedback Tuning (IFT) is a data-based method for the iterative tuning of restricted comple...
Toward improved performance of fast and nanoaccurate motion systems an iterative tuning procedure fo...
In direct data-driven controller tuning, a mathematical model of the plant is not needed, as the con...
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 ...