Passing values from an array in ModeliingToolkit framework

General Usage
,
1

I have a previously solved system (dt=1/200, ~adaptive=false, tspan = (0, 50)), stored as an array say 'A.' I want to use these values in another modelingtoolkit setup.

A is essentially like a sinusoidal signal.

eqs = [ 
    D(r) ~ r*(1 - r^2)*r
    D(θ) ~ 2 + "Values_from_A"
]

Does anyone have any suggestions, I thought I could do something like

data_time_convert(t) = model_a_encoder_1_layers(data_mod_signal)[1, trunc(Int64, (t%50)*200) + 1]'
@register_symbolic data_time_convert(t)

Deeply appreciate any suggestions.

2

Make A(t) a time-dependent parameter and pass in the interpolation to generate A(t) as one of the parameter pieces.

3

Hey, thanks for the suggestion, however, placing A(t) in the equations throws the following error. (I have defined A(t) as a variable.) As the following,

@variables A(t)

eqs = [ 
    D(r) ~ r*(1 - r^2)*r
    D(θ) ~ 2 + A(t)
]

Sym (A(t)) is not callable. Use @syms (A(t))(var1, var2,...) to create it as a callable.

Or, I have horribly misunderstood your suggestions.

4 
@variables A(t)
eqs = [ 
    D(r) ~ r*(1 - r^2)*r
    D(θ) ~ 2 + A
]