An adaptation algorithm for the parameters selection of the multiple frequency hybrid observer in [1] is proposed. The algorithm is tailored for numerical implementation and is aimed to retrieve, exploiting a suitable amount of past data, the number of frequencies of a signal and the observer gains to improve the exponential convergence to zero of the frequencies estimation error, even in case of noisy measurements.
Carnevale, D., Galeani, S. (2011). On the tuning of a hybrid observer for multiple frequency estimation. In Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on (pp.6091-6096). IEEE [10.1109/CDC.2011.6160888].
On the tuning of a hybrid observer for multiple frequency estimation
CARNEVALE, DANIELE;GALEANI, SERGIO
2011-01-01
Abstract
An adaptation algorithm for the parameters selection of the multiple frequency hybrid observer in [1] is proposed. The algorithm is tailored for numerical implementation and is aimed to retrieve, exploiting a suitable amount of past data, the number of frequencies of a signal and the observer gains to improve the exponential convergence to zero of the frequencies estimation error, even in case of noisy measurements.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
