In this paper, we propose an external model based, data-driven approach to robust output regulation. No a priori knowledge of the plant and the exosystem is required, apart from their state dimension and an upper bound on the exosystem frequencies. The core of the method lies in an error-feedback reset logic for the state of the external model.

De Carolis, G., Galeani, S., & Sassano, M. (2017). Data driven, robust output regulation via external models. In Control and Automation (MED), 2017 25th Mediterranean Conference on (pp.1263-1268). IEEE [10.1109/MED.2017.7984291].

Data driven, robust output regulation via external models

De Carolis G.;Galeani S.;Sassano M.
2017

Abstract

In this paper, we propose an external model based, data-driven approach to robust output regulation. No a priori knowledge of the plant and the exosystem is required, apart from their state dimension and an upper bound on the exosystem frequencies. The core of the method lies in an error-feedback reset logic for the state of the external model.
Mediterranean Conference on Control and Automation
Rilevanza internazionale
Settore ING-INF/04 - Automatica
English
external model based data-driven approach, robust output regulation, exosystem frequencies, error-feedback reset logic
Intervento a convegno
De Carolis, G., Galeani, S., & Sassano, M. (2017). Data driven, robust output regulation via external models. In Control and Automation (MED), 2017 25th Mediterranean Conference on (pp.1263-1268). IEEE [10.1109/MED.2017.7984291].
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/2108/191169
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