Model reference control design methods fail when the plant has one or more non-minimum phase zeros that are not included in the reference model, leading possibly to an unstable closed loop. This is a very serious problem for data-based control design methods, where the plant is typically unknown. In this paper, we extend the Virtual Reference Feedback Tuning method to non-minimum phase plants. This extension is based on the idea proposed in Lecchini and Gevers (2002) for Iterative Feedback Tuning. We present a simple two-step procedure that can cope with the situation where the unknown plant may or may not have non-minimum phase zeros
In this paper we shall extend the applications of iterative identification and control design to par...
This paper introduces the VRFT - Virtual Reference Feedback Tuning - approach for controller tuning ...
In order to improve the tracking performance of a non-minimum phase plant, a new method called the r...
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...
The paper provides a comparison between noniterative direct data-driven control design approaches fo...
The Iterative Feedback Tuning (IFT) is a data-based method for the tuning of restricted-complexity c...
This paper deals with robust experiment design for the Virtual Reference Feedback Tuning (VRFT) appr...
This paper considers the problem of designing a controller for an unknown plant based oil input/outp...
This paper introduces the virtual reference feedback tuning (VRFT) approach for controller tuning in...
Due to the character of the original source materials and the nature of batch digitization, quality ...
This paper continues to explore applicability of model reference robust control (MRRC) technique, a ...
In a causal setting, a closed-loop control system receives reference inputs (with no a priori knowle...
In this paper we shall extend the applications of iterative identification and control design to par...
In this paper we shall extend the applications of iterative identification and control design to par...
This paper introduces the VRFT - Virtual Reference Feedback Tuning - approach for controller tuning ...
In order to improve the tracking performance of a non-minimum phase plant, a new method called the r...
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...
The paper provides a comparison between noniterative direct data-driven control design approaches fo...
The Iterative Feedback Tuning (IFT) is a data-based method for the tuning of restricted-complexity c...
This paper deals with robust experiment design for the Virtual Reference Feedback Tuning (VRFT) appr...
This paper considers the problem of designing a controller for an unknown plant based oil input/outp...
This paper introduces the virtual reference feedback tuning (VRFT) approach for controller tuning in...
Due to the character of the original source materials and the nature of batch digitization, quality ...
This paper continues to explore applicability of model reference robust control (MRRC) technique, a ...
In a causal setting, a closed-loop control system receives reference inputs (with no a priori knowle...
In this paper we shall extend the applications of iterative identification and control design to par...
In this paper we shall extend the applications of iterative identification and control design to par...
This paper introduces the VRFT - Virtual Reference Feedback Tuning - approach for controller tuning ...
In order to improve the tracking performance of a non-minimum phase plant, a new method called the r...