Scilab 5.3.3
- Ajuda Scilab
- CACSD
- black
- bode
- chart
- evans
- gainplot
- m_circle
- nyquist
- routh_t
- sgrid
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- abcd
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- arhnk
- arl2
- arma
- arma2p
- armac
- armax
- armax1
- arsimul
- augment
- balreal
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- bstap
- cainv
- calfrq
- canon
- ccontrg
- cls2dls
- colinout
- colregul
- cont_frm
- cont_mat
- contr
- contrss
- copfac
- csim
- ctr_gram
- dbphi
- dcf
- ddp
- des2ss
- des2tf
- dhinf
- dhnorm
- dscr
- dsimul
- dt_ility
- dtsi
- equil
- equil1
- feedback
- findABCD
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- findBD
- findBDK
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- flts
- fourplan
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- freq
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- g_margin
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- h2norm
- h_cl
- h_inf
- h_inf_st
- h_norm
- hallchart
- hankelsv
- hinf
- imrep2ss
- inistate
- invsyslin
- kpure
- krac2
- lcf
- leqr
- lft
- lin
- linf
- linfn
- linmeq
- lqe
- lqg
- lqg2stan
- lqg_ltr
- lqr
- ltitr
- macglov
- markp2ss
- minreal
- minss
- mucomp
- narsimul
- nehari
- nicholschart
- noisegen
- nyquistfrequencybounds
- obs_gram
- obscont
- observer
- obsv_mat
- obsvss
- p_margin
- parrot
- pfss
- phasemag
- ppol
- prbs_a
- projsl
- reglin
- repfreq
- ric_desc
- ricc
- riccati
- rowinout
- rowregul
- rtitr
- sensi
- show_margins
- sident
- sm2des
- sm2ss
- sorder
- specfact
- ss2des
- ss2ss
- ss2tf
- st_ility
- stabil
- svplot
- sysfact
- syssize
- tf2des
- tf2ss
- 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 This page might be outdated.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
sensi
sensitivity functions
Calling Sequence
[Se,Re,Te]=sensi(G,K) [Si,Ri,Ti]=sensi(G,K,flag)
Arguments
- G
standard plant (
syslin
list)- K
compensator (
syslin
list)- flag
character string
'o'
(default value) or'i'
- Se
output sensitivity function
(I+G*K)^-1
- Re
K*Se
- Te
G*K*Se
(output complementary sensitivity function)
Description
sensi
computes sensitivity functions. If G
and K
are
given in state-space form, the systems returned are generically minimal.
Calculation is made by lft
, e.g.,
Se
can be given by the commands
P = augment(G,'S')
, Se=lft(P,K)
.
If flag
= 'i'
, [Si,Ri,Ti]=sensi(G,K,'i')
returns the input sensitivity functions.
Examples
G=ssrand(1,1,3);K=ssrand(1,1,3); [Se,Re,Te]=sensi(G,K); Se1=inv(eye()+G*K); //Other way to compute ss2tf(Se) //Se seen in transfer form ss2tf(Se1) ss2tf(Te) ss2tf(G*K*Se1) [Si,Ri,Ti]=sensi(G,K,'i'); w1=[ss2tf(Si);ss2tf(Ri);ss2tf(Ti)] w2=[ss2tf(inv(eye()+K*G));ss2tf(G*inv(eye()+K*G));ss2tf(K*G*inv(eye()+K*G))]; clean(w1-w2)
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