This paper considers the problem of designing a controller for an unknown plant based oil input/output measurements. The new design method we propose is direct (no model identification of the plant is needed) and can be applied using a single set of data generated by the plant, with no need for specific experiments nor iterations. It is shown that the method searches for the global optimum of the design criterion and that, in the case of restricted complexity controller design, the achieved controller is a good approximation of the restricted complexity global optimal controller. A simulation example shows the effectiveness of the method. (C) 2002 Elsevier Science Ltd. All rights reserved
The paper utilizes the Virtual Reference Feedback Tuning methodology for the iterative way of contro...
This paper proposes the combination of two data-driven techniques, namely virtual reference feedback...
In this work an algorithm for direct design of cascade control system is presented. The algorithm is...
This paper deals with robust experiment design for the Virtual Reference Feedback Tuning (VRFT) appr...
This paper introduces the VRFT - Virtual Reference Feedback Tuning - approach for controller tuning ...
This paper introduces the virtual reference feedback tuning (VRFT) approach for controller tuning in...
Abstract — Model Reference control design methods fail when the plant has one or more non minimum ph...
In recent years, direct data-driven controller tuning methods have been proposed as an alternative t...
In this paper, we introduce a data-driven control design method that does not rely on a model of the...
Virtual Reference Feedback Tuning (VRFT) is a general methodology for the design of a controller whe...
In recent years, noniterative Correlation-based Tuning (CbT) and Virtual Reference Feedback Tuning (...
In industry, a feedback controller with a look-up table (LUT) is often used for nonlinear systems. A...
Model reference control design methods fail when the plant has one or more non-minimum phase zeros t...
The virtual reference feedback tuning (VRFT) is a data-based method for the design of feedback contr...
The paper utilizes the Virtual Reference Feedback Tuning methodology for the iterative way of contro...
This paper proposes the combination of two data-driven techniques, namely virtual reference feedback...
In this work an algorithm for direct design of cascade control system is presented. The algorithm is...
This paper deals with robust experiment design for the Virtual Reference Feedback Tuning (VRFT) appr...
This paper introduces the VRFT - Virtual Reference Feedback Tuning - approach for controller tuning ...
This paper introduces the virtual reference feedback tuning (VRFT) approach for controller tuning in...
Abstract — Model Reference control design methods fail when the plant has one or more non minimum ph...
In recent years, direct data-driven controller tuning methods have been proposed as an alternative t...
In this paper, we introduce a data-driven control design method that does not rely on a model of the...
Virtual Reference Feedback Tuning (VRFT) is a general methodology for the design of a controller whe...
In recent years, noniterative Correlation-based Tuning (CbT) and Virtual Reference Feedback Tuning (...
In industry, a feedback controller with a look-up table (LUT) is often used for nonlinear systems. A...
Model reference control design methods fail when the plant has one or more non-minimum phase zeros t...
The virtual reference feedback tuning (VRFT) is a data-based method for the design of feedback contr...
The paper utilizes the Virtual Reference Feedback Tuning methodology for the iterative way of contro...
This paper proposes the combination of two data-driven techniques, namely virtual reference feedback...
In this work an algorithm for direct design of cascade control system is presented. The algorithm is...