How I calculate the confidence range plotted with showConfidence?

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Donato stigliano
Donato stigliano 2021-11-20
评论： Star Strider 2021-11-21
Ran in:
Hi,
if I execute the next code:
%define time vector
Ts=0.01;
Tend=(10^4)*Ts;
t=(0:Ts:Tend)';
Nmax=length(t);
%input vector
U = randn(Nmax,1);
%noise vector
E = randn(Nmax,1);
%% generate the system
A=[1 -2.61 2.49 -1.02 0.15];
B=[0 -0.02 -0.03 0.05 0.01];
C=[1 2 3];
S=idpoly(A,B,C,[],[],1e-4,Ts);
%output vector
Y = sim(S,[U E]);
%identification data
data=iddata(Y,U,Ts)
data = Time domain data set with 10001 samples. Sample time: 0.01 seconds Outputs Unit (if specified) y1 Inputs Unit (if specified) u1
%impulse response
imp=impulseest(data);
M=round((length(Y).*Ts)./100);
%plot
l=impulseplot(imp,M);
showConfidence(l,3)
How can I get the vector of confidence range plotted with showConfidence?
Thanks in advace.
  1 个评论
Star Strider
Star Strider 2021-11-21
That is apparently undocumented. (I did a fair amount of property spelunking and could not find it.)
So Contact Support to find out how to access it.
Please post back here on how to find that property, since others amy want to know that secret!
.

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