The paper provides a comparison between noniterative direct data-driven control design approaches for non-minimum-phase systems. In particular, the most well known methods, i.e., Correlation based Tuning and Virtual Reference Feedback Tuning, are compared to the recently introduced non-iterative version of the Unfalsified Approach for control system design. The overall comparative analysis is substantiated by a thorough simulation campaign on two benchmark problems
Abstract — Data-driven controller tuning for model reference control problem is investigated. A new ...
This paper deals with robust experiment design for the Virtual Reference Feedback Tuning (VRFT) appr...
Data-driven control is an alternative to the classical model-based control paradigm. The main idea i...
The paper provides a comparison between noniterative direct data-driven control design approaches fo...
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...
This paper proposes a non-iterative direct approach for controller design from experimental data; th...
The paper deals with the problem of designing controllers from experimental data. We propose a non-i...
The Iterative Feedback Tuning (IFT) is a data-based method for the tuning of restricted-complexity c...
In recent years, noniterative Correlation-based Tuning (CbT) and Virtual Reference Feedback Tuning (...
In recent years, direct data-driven controller tuning methods have been proposed as an alternative t...
Due to the character of the original source materials and the nature of batch digitization, quality ...
In this study, we propose a novel data-driven approach for control of two degrees of freedom systems...
Abstract — Data-driven controller tuning for model reference control problem is investigated. A new ...
This paper deals with robust experiment design for the Virtual Reference Feedback Tuning (VRFT) appr...
Data-driven control is an alternative to the classical model-based control paradigm. The main idea i...
The paper provides a comparison between noniterative direct data-driven control design approaches fo...
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...
This paper proposes a non-iterative direct approach for controller design from experimental data; th...
The paper deals with the problem of designing controllers from experimental data. We propose a non-i...
The Iterative Feedback Tuning (IFT) is a data-based method for the tuning of restricted-complexity c...
In recent years, noniterative Correlation-based Tuning (CbT) and Virtual Reference Feedback Tuning (...
In recent years, direct data-driven controller tuning methods have been proposed as an alternative t...
Due to the character of the original source materials and the nature of batch digitization, quality ...
In this study, we propose a novel data-driven approach for control of two degrees of freedom systems...
Abstract — Data-driven controller tuning for model reference control problem is investigated. A new ...
This paper deals with robust experiment design for the Virtual Reference Feedback Tuning (VRFT) appr...
Data-driven control is an alternative to the classical model-based control paradigm. The main idea i...