Cannot access MTK's observed variables in steady-state solutions (NonlinearSolution)

MWE:

using DifferentialEquations
using ModelingToolkit

@variables t x(t) RHS(t)
@parameters τ
D = Differential(t)

eqs = [
    RHS ~ (1 - x) / τ
    D(x) ~ RHS
]

@named sys = ODESystem(eqs, defaults=[x=>0.0, τ=>3.0])

sys = structural_simplify(sys)

prob = ODEProblem(sys, [], (0.0, 10.0))
sol = solve(prob)
sol[sys.x]
sol[sys.RHS]

ssprob = SteadyStateProblem(sys, [])
sssol = solve(ssprob, DynamicSS(Rodas5()))
sssol[sys.x]
sssol[sys.RHS] # MethodError: No method matching... (details below)

versioninfo() :

Julia Version 1.10.0
Commit 3120989f39 (2023-12-25 18:01 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 16 × AMD Ryzen 7 6800H with Radeon Graphics
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, znver3)
  Threads: 23 on 16 virtual cores

Pkg.status() :

Status `D:\github\test\Project.toml`
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  [961ee093] ModelingToolkit v8.75.0
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Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`
show(err)
1-element ExceptionStack:
LoadError: MethodError: no method matching (::SciMLBase.var"#187#189"{ODEFunction{true, SciMLBase.AutoSpecialize, ModelingToolkit.var"#k#503"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66fdb9d8, 0x7065c0d5, 0xc5193f8f, 0x42e87a59, 0x20f809cd), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf649ba8a, 0xa091b803, 0x21fee2a4, 0xeaade6c7, 0xa4cf5818), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.var"#generated_observed#510"{ODESystem, Dict{Any, Any}, Vector{SymbolicUtils.BasicSymbolic{Real}}}, Nothing, ODESystem}, Num})(::Vector{Float64}, ::Vector{Float64})

Yes we need to pass these on, it’s something that has recently come up in the new initialization stuff but we just haven’t gotten to it. Open an issue please.

1 Like

Done. Thank you for your quick response: Cannot access observed variables in NonlinearSolution · Issue #2420 · SciML/ModelingToolkit.jl · GitHub

Right now, I use the TerminateSteadyState() callback as a workaround.

# ...
sys = ODESystem(eqs, defaults=[x=>0.0, τ=>3.0])
prob = ODEProblem(sys, [], Inf)
sol = solve(prob, Rodas5(), save_everystep=false, callback=TerminateSteadyState())
sol[end]  # Steady state of state variable(s)
sol[sys.RHS][end]  # Steady state of observed variables