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dc.contributor.authorHu, JSen_US
dc.contributor.authorYu, SHen_US
dc.contributor.authorHsieh, CSen_US
dc.date.accessioned2019-04-02T05:59:15Z-
dc.date.available2019-04-02T05:59:15Z-
dc.date.issued1998-01-01en_US
dc.identifier.issn1063-6536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/87.654875en_US
dc.identifier.urihttp://hdl.handle.net/11536/148423-
dc.description.abstractIn this paper, three digital model-matching techniques in H-2, H-infinity, and l(1) performance measures are applied to design digital feedforward controllers for active noise cancellation in ducts. Different measures account for different optimization objectives in terms of physical signals. The distributed nature and high-bandwidth requirements of the control system result in a large set of parameters in plant description and these design techniques proved to be useful insolving the controllers numerically. Experiments were conducted using a floating-point digital signal processor that produced broad-band noise reduction. Design variations and noise reduction effects in terms of human perception are also discussed. It is experimentally proved that using model-matching designs, the causality principle originally raised by Paul Lueg does not have to be satisfied in order to actively reduce the noise level.en_US
dc.language.isoen_USen_US
dc.subjectacoustic noiseen_US
dc.subjectactive noise cancellationen_US
dc.subjectdigital filtersen_US
dc.subjectdigital signal processorsen_US
dc.subjectH-infinity optimizationen_US
dc.subjectmodel matching methodsen_US
dc.titleApplication of model-matching techniques to feedforward active noise controller designen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/87.654875en_US
dc.identifier.journalIEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGYen_US
dc.citation.volume6en_US
dc.citation.spage33en_US
dc.citation.epage42en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000071289700004en_US
dc.citation.woscount20en_US
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