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authorttt2018-07-09 16:54:44 +0530
committerttt2018-07-09 16:54:44 +0530
commite5e316e1958e27696d7670e2492992d34ff38b68 (patch)
tree8dab5cc24e31921cfb3c44444d48cfbfd3ff76f8 /impulseest.sci
parent681c88404f9f2861d228d0d0c3bd61b200ca1442 (diff)
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added scilabs files
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+function varargout = impulseest(varargin)
+ [lhs,rhs] = argn(0)
+ //checking the number of inputs
+ if rhs > 2 then
+ error(msprintf(gettext("%s: Unexpected number of input arguments "),"impulseest"))
+ end
+ modelData = varargin(1)
+ if typeof(modelData) <> "idpoly" then
+ error(msprintf(gettext("%s: Plant model must be ""idpoly"" type. "),"impulseest"))
+ end
+ //adding noise
+ if rhs == 2 then
+ noiseFlag = varargin(2)
+ if typeof(noiseFlag) <> 'boolean' then
+ error(msprintf(gettext("%s: Last input data must be ""boolean"".type "),"impulseest"))
+ end
+ else
+ noiseFlag = %F
+ end
+ z = poly(0,'z')
+ aPoly = poly(modelData.a(length(modelData.a):-1:1),'z','coeff')
+ bPoly = poly(modelData.b,'z','coeff')
+ fPoly = poly(modelData.f(length(modelData.f):-1:1),'z','coeff')
+ afPoly = aPoly*fPoly
+
+ bCoeff = modelData.b
+ extra = 1
+ if ~bCoeff(1,1) then
+ afCoeff = coeff(afPoly)
+ bLength = length(bCoeff);afLength = length(afCoeff)
+ if bLength == afLength then
+ extra = 1
+ else
+ extra = z^-(bLength-afLength)
+ end
+ end
+
+ bPoly = poly(modelData.b(length(modelData.b):-1:1),'z','coeff')
+ sys = syslin('d',bPoly,afPoly)*extra
+ if size(find(gsort(abs(roots(sys.den)))>1),'*') then
+ tempRoot = clean(roots(sys.den))
+ [sorted index] = gsort(abs(real(tempRoot)))
+ tempRoot = tempRoot(index)
+ n = 26/log10(abs(real(tempRoot(1))))
+
+ else
+ finalValue = horner(sys,1)*1
+ n = 10
+ tempValue = sum(ldiv(sys.num,sys.den,n))
+ if finalValue >= 0 then
+ while finalValue*0.99 >= tempValue || n >=1000
+ n = n+5
+ tempValue = sum(ldiv(sys.num,sys.den,n))
+ end
+ elseif finalValue < 0 then
+ while finalValue*0.99 <tempValue || n >=1000
+ n = n+5
+ tempValue = sum(ldiv(sys.num,sys.den,n))
+ end
+ if n > 100 then
+ n = 100
+ end
+ end
+ end
+ uData = [1 zeros(1,n)]
+ yData = flts(uData,sys)
+ timeData = (0:(n))*modelData.Ts
+// pause
+ if noiseFlag then
+ varargout(1) = yData'
+ else
+ stem(timeData,yData)
+ h = gcf()
+
+ h.figure_name= "Plant Impulse Response"
+ varargout(1) = []
+ end
+endfunction