Title :
A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems
Author :
Montazeri, Allahyar ; Poshtan, Javad
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
Abstract :
In this paper a new robust adaptive IIR filter is designed for active noise and vibration control system. The developed adaptive algorithm has the capability to remain stable, when an upper bound of the uncertainties in the estimated model of the secondary path is known beforehand. It is proved that by using a nonlinear function of the measured error signal in the adaptation process the algorithm will exhibit a robustness property with respect to possible uncertainties in the secondary path model. This algorithm belongs to the class of RLS-type adaptive IIR filters in the modified filtered-x structure, and its stability is analyzed using Lyapanov theory.
Keywords :
IIR filters; Lyapunov methods; active noise control; adaptive filters; nonlinear functions; vibration control; ANVC systems; Lyapanov theory; active noise and vibration control system; robust adaptive IIR filter; secondary path estimation model; Active noise reduction; Adaptive algorithm; Adaptive control; IIR filters; Noise robustness; Programmable control; Robust control; Uncertainty; Upper bound; Vibration control;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697118
