Function Reference

rss

Generate stable random continuous test models

Syntax

• sys = rss(n)
  sys = rss(n,p)
  sys = rss(n,p,m)
  sys = rss(n,p,m,s1,...,sn)
  

Description

rss(n) produces a stable random n-th order model with one input and one output and returns the model in the state-space object sys.

rss(n,p) produces a random nth order stable model with one input and p outputs, and rss(n,m,p) produces a random n-th order stable model with m inputs and p outputs. The output sys is always a state-space model.

rss(n,p,m,s1,...,sn)produces an s1-by-...-by-sn array of random n-th order stable 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.

Example

Obtain a stable 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.
  

See Also
drss        Generate stable random discrete test models

frd         Convert LTI systems to frequency response form

tf          Convert LTI systems to transfer function form

zpk         Convert LTI systems to zero-pole-gain form

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