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.
On data-driven control design for non-minimum-phase plants: A comparative view
RALLO, GIANMARCO;FORMENTIN, SIMONE;SAVARESI, SERGIO MATTEO
2016-01-01
Abstract
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.File in questo prodotto:
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