In this paper we propose a robust estimator for the frequencies of biased multi-harmonic signals in the presence of unknown additive disturbances. The estimator consists of a continuous-time stable linear system and a discrete-time recursive least-squares identifier. In absence of additive disturbances, the proposed design guarantees global exponential convergence to the optimal (in the least-squares sense) parameter estimates. In presence of disturbances, instead, an input-to-state stability property relative to such optimal estimates holds.
Robust Frequency Estimation of Multi-Harmonic Signals / Azzollini, IA; Bin, M; Bernard, P; Marconi, L. - ELETTRONICO. - (2021), pp. 2633-2638. (Intervento presentato al convegno 2021 European Control Conference, ECC 2021 tenutosi a Rotterdam, Netherlands nel 2021) [10.23919/ECC54610.2021.9654931].
Robust Frequency Estimation of Multi-Harmonic Signals
Azzollini, IA
;Bin, M;Marconi, L
2021
Abstract
In this paper we propose a robust estimator for the frequencies of biased multi-harmonic signals in the presence of unknown additive disturbances. The estimator consists of a continuous-time stable linear system and a discrete-time recursive least-squares identifier. In absence of additive disturbances, the proposed design guarantees global exponential convergence to the optimal (in the least-squares sense) parameter estimates. In presence of disturbances, instead, an input-to-state stability property relative to such optimal estimates holds.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.