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rss(n)
rss(n,p)
rss(n,p,m,s1,...,sn)
rss(n) generates an n-th order model with one input and one output and returns the model in the state-space object sys. The poles of sys are random and stable with the possible exception of poles at s = 0 (integrators).
rss(n,p) generates an nth order model with one input and p outputs, and rss(n,p,m) generates an n-th order model with m inputs and p outputs. The output sys is always a state-space model.
rss(n,p,m,s1,...,sn) generates an s1-by-...-by-sn array of n-th order state-space models with m inputs and p outputs.
Use tf, frd, or zpk to convert the state-space object sys to transfer function, frequency response, or zero-pole-gain form.
Obtain a random continuous LTI model with three states, two inputs, and two outputs by typing
sys = rss(3,2,2)
a =
x1 x2 x3
x1 -0.54175 0.09729 0.08304
x2 0.09729 -0.89491 0.58707
x3 0.08304 0.58707 -1.95271
b =
u1 u2
x1 -0.88844 -2.41459
x2 0 -0.69435
x3 -0.07162 -1.39139
c =
x1 x2 x3
y1 0.32965 0.14718 0
y2 0.59854 -0.10144 0.02805
d =
u1 u2
y1 -0.87631 -0.32758
y2 0 0
Continuous-time system.

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