Scilab 5.5.2
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- Formal representations and conversions
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- abinv
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- armax1
- arsimul
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- balreal
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- copfac
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- damp
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- dtsi
- equil
- equil1
- feedback
- findABCD
- findAC
- findBD
- findBDK
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- findx0BD
- flts
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- freq
- freson
- fspec
- fspecg
- fstabst
- g_margin
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- h2norm
- h_cl
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- h_inf_st
- h_norm
- hankelsv
- hinf
- imrep2ss
- inistate
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- kpure
- krac2
- lcf
- leqr
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- obsv_mat
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- p_margin
- parrot
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- plzr
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- projsl
- repfreq
- ric_desc
- ricc
- riccati
- routh_t
- rowinout
- rowregul
- rtitr
- sensi
- sident
- sorder
- specfact
- ssprint
- st_ility
- stabil
- sysfact
- syslin
- syssize
- time_id
- trzeros
- ui_observer
- unobs
- zeropen
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
projsl
線形システム射影
呼び出し手順
[slp]=projsl(sl,Q,M)
パラメータ
- sl,slp
syslin
リスト- Q,M
行列 (射影分解)
説明
slp
= sl
の射影モデル,
ただし,Q*M
は射影のフルランク分解です.
(A,B,C,D)
がsl
の実現の場合,
射影モデルは(M*A*Q,M*B,C*Q,D)
により与えられます.
通常,射影 Q*M
は適当な相補行列W
のスペクトル射影により得られます.
例えば,
W
= (重みつき)グラミアンの積またはリカッチ方程式の積.
例
rand('seed',0);sl=ssrand(2,2,5);[A,B,C,D]=abcd(sl);poles=spec(A) [Q,M]=pbig(A,0,'c'); //keeping unstable poles slred=projsl(sl,Q,M);spec(slred('A')) sl('D')=rand(2,2); //making proper system trzeros(sl) //zeros of sl wi=inv(sl); //wi=inverse in state-space [q,m]=psmall(wi('A'),2,'d'); //keeping small zeros (poles of wi) i.e. abs(z)<2 slred2=projsl(sl,q,m); trzeros(slred2) //zeros of slred2 = small zeros of sl // Example keeping second order modes A=diag([-1,-2,-3]); sl=syslin('c',A,rand(3,2),rand(2,3));[nk2,W]=hankelsv(sl) [Q,M]=pbig(W,nk2(2)-%eps,'c'); //keeping 2 eigenvalues of W slr=projsl(sl,Q,M); //reduced model hankelsv(slr)
参照
- pbig — 固有投影
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