Title :
Applying adaptive recursive filtering to system identification
Author :
Fenglin, Wang ; Lili, An ; Lina, An ; Xu Yaoxian
Author_Institution :
Harbin Inst. of Technol., China
Abstract :
By the use of adaptive recursive filtering, this paper introduces a new method of adaptive ARMA modeling and model order reduction. Simulation and experimental research indicate that through self-learning and self-adjusting the method can cause the output of the ARMA model to be a best least square fit to an unknown plant and can detect the system delay time feature. It is a practical method for on-line system modeling
Keywords :
adaptive filters; autoregressive moving average processes; computerised monitoring; filtering theory; identification; least squares approximations; recursive filters; adaptive ARMA modeling; adaptive recursive filtering; experiment; least square fit; model order reduction; online system modeling; self adjusting; self learning; simulation; system delay time; system identification; Adaptive filters; Adaptive systems; Convergence; Delay effects; Delay systems; Filtering; IIR filters; Poles and zeros; System identification; Transversal filters;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567123
