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.
Azzollini I.A., Bin M., Bernard P., Marconi L. (2021). Robust Frequency Estimation of Multi-Harmonic Signals. 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.23919/ECC54610.2021.9654931].
Robust Frequency Estimation of Multi-Harmonic Signals
Azzollini I. A.
;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.
