Control System Toolbox Function Reference

drss

Generate stable random discrete test models

Syntax

sys = drss(n)
sys = drss(n,p)
sys = drss(n,p,m)
sys = drss(n,p,m,s1,...sn)

Description

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

drss(n,p) produces a random n-th order stable model with one input and p outputs.

drss(n,m,p) generates a random n-th order stable model with m inputs and p outputs.

drss(n,p,m,s1,...sn) generates a s1-by-sn array of random n-th order stable model with m inputs and p outputs.

In all cases, the discrete-time state-space model or array returned by drss has an unspecified sampling time. To generate transfer function or zero-pole-gain systems, convert sys using tf or zpk.

Example

Generate a random discrete LTI system with three states, two inputs, and two outputs.

sys = drss(3,2,2)
 
a = 
                        x1           x2           x3
           x1      0.38630     -0.21458     -0.09914
           x2     -0.23390     -0.15220     -0.06572
           x3     -0.03412      0.11394     -0.22618

b = 
                        u1           u2
           x1      0.98833      0.51551
           x2            0      0.33395
           x3      0.42350      0.43291
 
c = 
                        x1           x2           x3
           y1      0.22595      0.76037            0
           y2            0            0            0
 
d = 
                        u1           u2
           y1            0      0.68085
           y2      0.78333      0.46110
 
Sampling time: unspecified
Discrete-time system.

See Also
rss         Generate stable random continuous test models

tf          Convert LTI systems to transfer functions form

zpk         Convert LTI systems to zero-pole-gain form

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