In this paper, a data-driven design of deadbeat controllers is proposed, which is later generalized in different ways to allow for trade-offs between convergence rate and control effort. The proposed design is then combined with recent work on data-driven output regulation using external models, and shown to provide very desirable responses.

de Carolis, G., Galeani, S., & Sassano, M. (2017). Data-driven deadbeat control with application to output regulation. In Decision and Control (CDC), 2017 IEEE 56th Annual Conference on (pp.6271-6276). IEEE [10.1109/CDC.2017.8264604].

Data-driven deadbeat control with application to output regulation

de Carolis, Giovanni;Galeani, Sergio;Sassano, Mario
2017

Abstract

In this paper, a data-driven design of deadbeat controllers is proposed, which is later generalized in different ways to allow for trade-offs between convergence rate and control effort. The proposed design is then combined with recent work on data-driven output regulation using external models, and shown to provide very desirable responses.
Conference on Decision and Control
Rilevanza internazionale
Settore ING-INF/04 - Automatica
English
Convergence; Control design; Linear systems; Robustness; Optimization; Performance analysis
Intervento a convegno
de Carolis, G., Galeani, S., & Sassano, M. (2017). Data-driven deadbeat control with application to output regulation. In Decision and Control (CDC), 2017 IEEE 56th Annual Conference on (pp.6271-6276). IEEE [10.1109/CDC.2017.8264604].
de Carolis, G; Galeani, S; Sassano, M
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/193126
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