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  • 大小: 5KB
    文件類型: .zip
    金幣: 2
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    發布日期: 2021-06-02
  • 語言: 其他
  • 標簽: SOC??

資源簡介

雙卡爾曼濾波算法是基于卡爾曼濾波算法的一個二級結構算法。第一步使用了卡爾曼濾波算法,用電池電壓來修正SOC,然后將修正后的SOC作為第二個卡爾曼濾波算法的輸入,對安時積分法得到的SOC進行修正,最終得到雙卡爾曼濾波算法SOC估計值。結合EKF算法和安時積分法的優點,能夠得到更穩定、更精確的估計結果。

資源截圖

代碼片段和文件信息

function?A?=?DEKF(yp)
%Dual?Extended?Klman?Filter?(DEKF)?for?MVAR?parameter?estimation
%
%?Arguments:
%?A:?Estimated?time-varying?parameters?A?=?[A1?A2?...?Ar]
%?y:?(CH?x?LEN)?data?matrix
%?p:?Model?order
%?
%?
%?References:
%?[1]?E.?A.?Wan?and?A.?T.?Nelson?揘eural?dual?extended?Kalman?filtering:?applications?in?speech?
%?enhancement?and?monaural?blind?signal?separation?in?Neural?Networks?for?Signal?Processing?
%?of?the?1997?IEEE?Workshop?1997?pp.?466-475.
%?
%?[2]?E.?A.?Wan?and?A.?T.?Nelson?“Dual?Extended?Kalman?Filter?Methods“?Kalman?Filtering?and?
%?Neural?Networks?pp.?123-173:?John?Wiley?&?Sons?Inc.?2002.
%?
%?[3]?S.?Haykin?Kalman?Filtering?and?Neural?Networks?p.^pp.?304:?John?Wiley?and?Sons?2001.
%?
%?
%?See?also:?‘Linear?Kalman?Filter‘?MATLAB?implementation?written?by?Amir?Omidvarnia?available?at:
%?http://www.mathworks.com/matlabcentral/fileexchange/29127-linear-kalman-filter
%?
%?Written?by:?Amir?Omidvarnia

%%?
CH?=?size(y1);????????????????????????????%?Number?of?states?(here?CH?=?N)
LEN?=?size(y2);???????????????????????????%?Number?of?the?multivariate?observations

%%?Initial?parameters?for?Dual?Extended?Kalman?Filter
%%%%%?(EKF?1)
xh?=?zeros(CH*pLEN);??????????????????????%?(EKF?1)?Initial?a-posteriori?states?(Mp?x?1)
Px?=?.1*eye(CH*p);?????????????????????????%?(EKF?1)?Initial?a-posteriori?state?covariance?matrix
R?=?eye(CH);
B?=?zeros(CH*pCH);????????????????????????%?(EKF?1)?Relationship?between?states?and?the?process?noise?(?x(k)?=?F[x(k-1)]?+?B*v(k)?)
B(1:CH:)?=?eye(CH);???????????????????????%?(EKF?1)?B?=?[I?0?...?0]‘

%%%%%?EKF?2
Pa?=?eye(CH*CH*p);?????????????????????????%?(EKF?2)?Initial?a-posteriori?parameters?covariance?matrix
Ah?=?zeros(CH*pCH*pLEN);?????????????????%?(EKF?2)?Initial?a-posteriori?parameters?estimates?(matrix?form?of?‘ah‘?plus?identity?matrices)
Ah(1:CH1:CH*pp)?=?.1*randn(CHCH*p);?????%?(EKF?2)?Initial?a-posteriori?parameters?estimates?(matrix?form?of?‘ah‘?plus?identity?matrices)
for?r?=?2?:?p
????Ah((r-1)*CH+1:r*CH(r-2)*CH+1:(r-1)*CH?p)?=?eye(CH);
end

for?r?=?1?:?p
????xh((r-1)*CH+1:r*CHp+1)?=?y(:p-r+1);
end

%%%%%?Mutual?variables?between?EKF?1?and?DEKF?2
Q?=?10*eye(CH);????????????????????????????%?(EKF?12)?Initial?process?noise?covariance?matrix
C?=?B‘;????????????????????????????????????%?(EKF?12)?Measurement?matrix?(identity?matrix?C?=?B‘)

%%?DEKF?starts?....
for?i?=?p+1?:?LEN
????????
????[J_x?J_A]?=?MVAR_JacCSD(Ah(::i-1)xh(:i-1)p);??%?xh(k)?=?F(A(k-1)?*?xh(k-1))?=?Ah(k-1)?*?xh(k-1)
????Ah_?=?Ah(::i-1);?????????????????????????????????%?Ah_(k)?=?Ah(k-1)

????%%?EKF?1?--->?States?estimation????
????%----------?Time?Update?(EKF1)?----------
????Rv?=?B?*?Q?*?B‘;??????????????????????????%?According?to?Haykin‘s?book
????xh_?=?Ah_?*?xh(:i-1);????????????????????%?xh_(k)?=?A_h(k-1)?*?xh(k-1)
????Px_?=?J_x?*?Px?*?J_x‘?+?Rv;???????????????%?Px_(k)?=?A_h(k-1)?*?Px(k-1)?*?A_h(k-1)‘?+?B?*?Q?*?B‘
????
?

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2011-11-21?19:18??DEKF_Mathworks\
?????文件????????4675??2011-11-21?16:30??DEKF_Mathworks\DEKF.m
?????文件????????2055??2011-11-21?16:05??DEKF_Mathworks\MVAR_JacCSD.m
?????文件????????1949??2011-11-21?16:42??DEKF_Mathworks\TVMVAR_Estimation_script.m
?????文件????????1536??2011-11-21?04:32??license.txt

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