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Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
rtitr
discrete time response (transfer matrix)
Calling Sequence
[y]=rtitr(Num,Den,u [,up,yp])
Arguments
- Num,Den
polynomial matrices (resp. dimensions :
n
xm
andn
xn
)- u
real matrix (dimension
m
x(t+1)
- up,yp
real matrices (
up
dimensionm
x(max(degree(Den)))
(default values=0
) ,yp
dimensionn
x(max(degree(Den)))
)- y
real matrix
Description
y=rtitr(Num,Den,u [,up,yp])
returns the time response of
the discrete time linear system with transfer matrix Den^-1 Num
for the input u
, i.e y
and u
are such that Den y = Num u
at t=0,1,...
If d1=max(degree(Den))
, and d2=max(degree(Num))
the polynomial
matrices Den(z)
and Num(z)
may be written respectively as:
D(z) = D_0 + D_1 z + ... + D_d1 z^d1 N(z) = N_0 + N_1 z + ... + N_d2 z^d2
and Den y = Num u
is interpreted as the recursion:
D(0)y(t)+D(1)y(t+1)+...+ D(d1)y(t+d1)= N(0) u(t) +....+ N(d2) u(t+d2)
It is assumed that D(d1)
is non singular.
The columns of u are the inputs of the system at t=0,1,...,T:
u=[u(0) , u(1),...,u(T)]
The outputs at t=0,1,...,T+d1-d2
are the columns of the matrix y
:
y = [y(0), y(1), .... y(T+d1-d2)]
up
and yp
define the initial conditions for t < 0 i.e
up = [u(-d1), ..., u(-1) ] yp = [y(-d1), ... y(-1) ]
Depending on the relative values of d1
and d2
, some of the
leftmost components of up
, yp
are ignored.
The default values of up
and yp
are zero:
up = 0*ones(m,d1), yp=0*ones(n,d1)
Examples
z=poly(0,'z'); Num=1+z;Den=1+z;u=[1,2,3,4,5]; rtitr(Num,Den,u)-u //Other examples //siso //causal n1=1;d1=poly([1 1],'z','coeff'); // y(j)=-y(j-1)+u(j-1) r1=[0 1 0 1 0 1 0 1 0 1 0]; r=rtitr(n1,d1,ones(1,10));norm(r1-r,1) //hot restart r=rtitr(n1,d1,ones(1,9),1,0);norm(r1(2:11)-r) //non causal n2=poly([1 1 1],'z','coeff');d2=d1; // y(j)=-y(j-1)+u(j-1)+u(j)+u(j+1) r2=[2 1 2 1 2 1 2 1 2]; r=rtitr(n2,d2,ones(1,10));norm(r-r2,1) //hot restart r=rtitr(n2,d2,ones(1,9),1,2);norm(r2(2:9)-r,1) // //MIMO example //causal d1=d1*diag([1 0.5]);n1=[1 3 1;2 4 1];r1=[5;14]*r1; r=rtitr(n1,d1,ones(3,10));norm(r1-r,1) // r=rtitr(n1,d1,ones(3,9),[1;1;1],[0;0]); norm(r1(:,2:11)-r,1) //polynomial n1 (same ex.) n1(1,1)=poly(1,'z','c');r=rtitr(n1,d1,ones(3,10));norm(r1-r,1) // r=rtitr(n1,d1,ones(3,9),[1;1;1],[0;0]); norm(r1(:,2:11)-r,1) //non causal d2=d1;n2=n2*n1;r2=[5;14]*r2; r=rtitr(n2,d2,ones(3,10));norm(r2-r) // r=rtitr(n2,d2,ones(3,9),[1;1;1],[10;28]); norm(r2(:,2:9)-r,1) // // State-space or transfer a = [0.21 , 0.63 , 0.56 , 0.23 , 0.31 0.76 , 0.85 , 0.66 , 0.23 , 0.93 0 , 0.69 , 0.73 , 0.22 , 0.21 0.33 , 0.88 , 0.2 , 0.88 , 0.31 0.67 , 0.07 , 0.54 , 0.65 , 0.36]; b = [0.29 , 0.5 , 0.92 0.57 , 0.44 , 0.04 0.48 , 0.27 , 0.48 0.33 , 0.63 , 0.26 0.59 , 0.41 , 0.41]; c = [0.28 , 0.78 , 0.11 , 0.15 , 0.84 0.13 , 0.21 , 0.69 , 0.7 , 0.41]; d = [0.41 , 0.11 , 0.56 0.88 , 0.2 , 0.59]; s=syslin('d',a,b,c,d); h=ss2tf(s);num=h('num');den=h('den');den=den(1,1)*eye(2,2); u=1;u(3,10)=0;r3=flts(u,s); r=rtitr(num,den,u);norm(r3-r,1)
See Also
<< rowregul | CACSD | sensi >> |