文件名称:BilinearSystems

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  • ActiveX/DCOM
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  • [Matlab] [源码]
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  • 2012-11-26
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  • 1.38mb
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concerned with the blind identi cation of

bilinear systems excited by higher-order white noise. Un-

like prior work that restricted the bilinear system model to

simple forms and required the excitation to be Gaussian dis-

tributed, the results of this paper are applicable to a more

general class of bilinear systems and for the case when the

excitation is non-Gaussian. We describe an estimation pro-

cedure for the computation of the system parameters using

output cumulants of order less than four.
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下载文件列表

Bilinear Systems

................\BLIND IDENTIFICATION OF BILINEAR SYSTEMS.pdf

................\CUEDSID

................\.......\A new subspace identification method for bilinear systems(Autpmatics).pdf

................\.......\A New Subspace Identification Method for Bilinear Systems.pdf

................\.......\An improved subspace identification method for bilinear systems.pdf

................\.......\cuedsid

................\.......\.......\balpemsid

................\.......\.......\.........\balpem.m

................\.......\.......\.........\examplebalpem.mat

................\.......\.......\.........\isbalanced.m

................\.......\.......\.........\ismpbalanced.m

................\.......\.......\.........\mp.m

................\.......\.......\.........\mpbal.m

................\.......\.......\.........\private

................\.......\.......\.........\.......\conhsv.m

................\.......\.......\.........\.......\exthsv.m

................\.......\.......\.........\.......\extu.m

................\.......\.......\.........\.......\fillb.m

................\.......\.......\.........\.......\signextb.m

................\.......\.......\.........\sb.m

................\.......\.......\bilinidsid

................\.......\.......\..........\@bilin

................\.......\.......\..........\......\bilin.m

................\.......\.......\..........\......\compare.m

................\.......\.......\..........\......\display.m

................\.......\.......\..........\......\get.m

................\.......\.......\..........\......\isstable.m

................\.......\.......\..........\......\pe.m

................\.......\.......\..........\......\set.m

................\.......\.......\..........\......\sim.m

................\.......\.......\..........\......\subsasgn.m

................\.......\.......\..........\......\subsref.m

................\.......\.......\..........\bilinid.m

................\.......\.......\..........\example2i2s2o.mat

................\.......\.......\..........\khatri.m

................\.......\.......\..........\private

................\.......\.......\..........\.......\blociobi.m

................\.......\.......\..........\.......\blocplbi.m

................\.......\.......\..........\.......\krons.m

................\.......\.......\..........\.......\orderselect.m

................\.......\.......\blochank.m

................\.......\.......\bloctoep.m

................\.......\.......\Contents.m

................\.......\.......\coorproj.m

................\.......\.......\linsid

................\.......\.......\......\example3block.mat

................\.......\.......\......\obmat.m

................\.......\.......\......\private

................\.......\.......\......\.......\orderselect.m

................\.......\.......\......\.......\sumkromat.m

................\.......\.......\......\soltritoep.m

................\.......\.......\......\subid3b.m

................\.......\.......\orthproj.m

................\.......\CUEDSID Toolbox User Guide .pdf

................\.......\CUEDSID.doc

................\.......\Subspace identification - a Markov parameter approach.pdf

................\.......\Subspace identification of combined deterministic-stochastic bilinear systems.pdf

................\.......\Unbiased bilinear subspace system identification methods.pdf

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