The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems

Recursive and nonrecursive least mean square adaptive filters were used to predict the output of various mechanical systems for a given input. The effects of quality factor (Q), dispersion and transmission time on adaptive filter performance were investigated. Optimal filter delay times and tap weig...

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Bibliographic Details
Main Author:	Dargel, Michael R.
Other Authors:	Keolian, Robert
Language:	en_US
Published:	Monterey, California. Naval Postgraduate School 2013
Online Access:	http://hdl.handle.net/10945/32232

id	ndltd-nps.edu-oai-calhoun.nps.edu-10945-32232
record_format	oai_dc
spelling	ndltd-nps.edu-oai-calhoun.nps.edu-10945-322322014-11-27T16:18:22Z The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems Dargel, Michael R. Keolian, Robert Cristi, Roberto Recursive and nonrecursive least mean square adaptive filters were used to predict the output of various mechanical systems for a given input. The effects of quality factor (Q), dispersion and transmission time on adaptive filter performance were investigated. Optimal filter delay times and tap weight vector lengths were determined. 2013-04-30T22:06:47Z 2013-04-30T22:06:47Z 1996-09 Thesis http://hdl.handle.net/10945/32232 en_US Approved for public release, distribution unlimited Monterey, California. Naval Postgraduate School
collection	NDLTD
language	en_US
sources	NDLTD
description	Recursive and nonrecursive least mean square adaptive filters were used to predict the output of various mechanical systems for a given input. The effects of quality factor (Q), dispersion and transmission time on adaptive filter performance were investigated. Optimal filter delay times and tap weight vector lengths were determined.
author2	Keolian, Robert
author_facet	Keolian, Robert Dargel, Michael R.
author	Dargel, Michael R.
spellingShingle	Dargel, Michael R. The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems
author_sort	Dargel, Michael R.
title	The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems
title_short	The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems
title_full	The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems
title_fullStr	The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems
title_full_unstemmed	The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems
title_sort	influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems
publisher	Monterey, California. Naval Postgraduate School
publishDate	2013
url	http://hdl.handle.net/10945/32232
work_keys_str_mv	AT dargelmichaelr theinfluenceofphysicalsystemparametersontheperformanceofadaptivefiltersforsystemidentificationofmechanicalsystems AT dargelmichaelr influenceofphysicalsystemparametersontheperformanceofadaptivefiltersforsystemidentificationofmechanicalsystems
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The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems

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