Named systems with delays

I use delayed systems quite a bit and I love the functionality of named systems when plotting. I was wondering what your thoughts were on creating a named delayed system type (continuous)?

Take the following example of how I currently use named systems with delays:

using ControlSystems, RobustAndOptimalControl

# create named state space plant
P = ss([1 0; 0 -1], [0; 1], [1 0], 0)
P_named = named_ss(P, x=[:pos, :vel], u=[:force], y=[:pos])

# create delayed system (input is delayed)
D = c2d(delay(0.1), 0.05)
D_named = named_ss(D, y=:force, u=:force_cmd)
P_delayed = c2d(P_named, 0.05) * D_named


NamedStateSpace{Discrete{Float64}, Float64}
A = 
 1.051271096376024  0.0                 0.0                  0.0
 0.0                0.9512294245007141  0.04877057549928599  0.0
 0.0                0.0                 0.0                  1.0
 0.0                0.0                 0.0                  0.0
B = 
 0.0
 0.0
 0.0
 1.0
C = 
 1.0  0.0  0.0  0.0
D = 
 0.0

Sample Time: 0.05 (seconds)
Discrete-time state-space model
With state  names: pos vel x1 x2
     input  names: force_cmd
     output names: pos

Ideally, however, because I normally leave systems in continuous form, it would be great if this worked:

P_delayed = P_named * delay(0.1)

I'm not an expert of how delays are internally handle so if I'm missing something obvious please let me know!

Thanks

Start by reviewing the existing named_ss and delay entry points, along with how continuous systems are represented and composed. Define what named delayed-system behavior should be supported for the shown P_named * delay(0.1) case, then add coverage demonstrating that the resulting system preserves the expected names and continuous-time behavior.