DocumentCode :
3075262
Title :
Adaptive identifier with a self-tuning filter
Author :
Bai, Er-Wei
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., IA, USA
fYear :
1990
fDate :
5-7 Dec 1990
Firstpage :
3247
Abstract :
It is shown that the performance of the adaptive identifier of equation error type can be improved substantially by updating the filter online. It is known that, in the presence of uncertainty, the equation error method would not produce an estimate which has a good fit at low frequencies. To fix the problem, the identification schemes are modified by making filters time varying, and these time varying filters are updated online such that the estimate converges to a value that would be obtained by the output error method. In this way, the effects of the uncertainty are reduced
Keywords :
adaptive control; filtering and prediction theory; identification; self-adjusting systems; adaptive control; adaptive identifier; identification; self-tuning filter; time varying filters; uncertainty; Adaptive filters; Cities and towns; Convergence; Equations; Frequency estimation; Knowledge engineering; Parameter estimation; Stability; Transfer functions; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/CDC.1990.203391
Filename :
203391
Link To Document :
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