Title :
Frequency Estimator with LMI-type Adaptive Update Law
Author :
Adachi, Kentaro ; Suemitsu, Haruo ; Matsuo, Takami
Author_Institution :
Dept. of Human Wel. Eng., Oita Univ.
Abstract :
In this paper, we propose an adaptive frequency estimator that does not need the filtered transformation by using the LMI-type adaptive update law. We derive the stability condition of the error system with bounded disturbances with a LMI. Moreover, we add the averaging factor to the frequency estimator in order to attenuate an error fluctuation arising due to noises in measurements. Finally, the performance of the proposed estimator is investigated by the MATLAB simulation
Keywords :
adaptive control; frequency estimation; linear matrix inequalities; observers; stability; LMI-type adaptive update law; MATLAB simulation; adaptive frequency estimator; adaptive observer; averaging factor; error fluctuation; linear matrix nequality; stability; Adaptive filters; Attenuation measurement; Finite impulse response filter; Fluctuations; Frequency estimation; Frequency measurement; MATLAB; Noise measurement; Signal design; Stability; Adaptive observer; averaging; linear matrix inequality;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315275
