Title :
On the tuning of a hybrid observer for multiple frequency estimation
Author :
Carnevale, D. ; Galeani, S.
Author_Institution :
Dipt. di Inf., Sist. e Produzione (DISP), Univ. di Roma “Tor Vergata”, Rome, Italy
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.
Keywords :
frequency estimation; observers; signal sampling; adaptation algorithm; exponential convergence; frequencies estimation error; hybrid observer tuning; multiple frequency estimation; multiple frequency hybrid observer; noisy measurements; numerical implementation; observer gains; parameters selection; signal frequencies; Convergence; Estimation error; Frequency estimation; Heuristic algorithms; Noise; Observers; Vectors;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6160888
