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Description
We want a longer opening tutorial that progresses like:
- Defines and solves a simple ODE
- Adds some output observables?
- Adds some connections?
I kind of think @pbouffard's example is something nice to show off:
using ModelingToolkit, OrdinaryDiffEq
@parameters t a
@variables x(t) f(t)
D = Differential(t)
function decay(;name)
eqs = [
D(x) ~ -a*x + f
]
ODESystem(eqs, name=name)
end
@named decay1 = decay()
@named decay2 = decay()
@named connected = ODESystem([
decay2.f ~ decay1.x
D(decay1.f) ~ 0
], t, systems=[decay1, decay2])
reduced_system = structural_simplify(connected)
x0 = [
decay1.x => 1.0
decay1.f => 0.0
decay2.x => 1.0
]
p = [
decay1.a => 0.1
decay2.a => 0.2
]
prob = ODEProblem(reduced_system, x0, (0.0, 20.0), p)
sol = solve(prob, Tsit5())
as something that is useful to show too, since forcing functions and using another system to complete a system is a standard practice that should be demonstrated.
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