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Direct adaptive active noise control algorithms in case of uncertain secondary path dynamics
Author(s) -
Kohno Toshikazu,
Sano Akira
Publication year - 2005
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.842
Subject(s) - feed forward , path (computing) , adaptive control , control theory (sociology) , computer science , noise (video) , active noise control , algorithm , control (management) , control engineering , engineering , artificial intelligence , noise reduction , image (mathematics) , programming language
Abstract Almost all adaptive feedforward control algorithms for active noise control require an identified model of the secondary path dynamics from the control loudspeaker to the error and reference microphones. This paper is concerned with new direct adaptive algorithms which will be applicable when the secondary path dynamics are unknown or uncertainly changeable. In the first approach, the control algorithm consists of a robust adaptive feedforward control algorithm and robust feedback control scheme permitting bounded uncertainty in the nominal secondary path model. The second one is a fully direct adaptive feedforward control algorithm which does not require explicit identification of the secondary path dynamics even when all of the path dynamics are uncertain. Simulation and experimental results validate the effectiveness of the proposed algorithms. Copyright © 2005 John Wiley & Sons, Ltd.