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Integrator provides erroneous results after an update of the integration problem via callbacks #1061

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MouhamedFall99 opened this issue Oct 29, 2024 · 8 comments
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MouhamedFall99 commented Oct 29, 2024

Describe the bug 🐞

Simply put, I am trying to implement a saturation feature on ODEs' output by detecting a threshhold value via a continuous callback.
Then via a discrete callback I can check if yes or no I can deactivate the saturation. The problem is that once the continuous callback triggers and the problem is modified (i.e. activate the saturation by flipping a boolean state) two strange behaviours happen :

  • If the discrete callback is activated, the integrator outputs erroneous results different from what the expected output of the ODE should be
  • If the discrete callback is deactivated (it was done in order to get a hint at the problem's origin), I realize that an error is thrown and the solver seems to struggle to handle the discontinuity.

Expected behavior

  • If the discrete callback is to be activated, I would expect from the integrator correct results. Because it is easy in this example to know how the solution should evolve (detailed in Error and Stacktrace section).
  • If the discrete callback is to be deactivated, I would expect the discontinuity to be handled when it is caused in an affect function of the continuous callback. However an error is thrown when the problem is modified.

Minimal Reproducible Example 👇

using DifferentialEquations
using Plots
#params
H = 0.0371
ΔPe = 0.05
saturated = [false]
observer = [false]
p = (H, ΔPe, saturated)
#DAE definition
function system!(du, u, p, t)
    H, ΔPe, saturated = p
    du[1] = -5.0u[1] - 1.0u[5]
    du[2] = 0.0228532u[1] - 0.0263158u[2]
    du[3] = 0.789474u[1] + 6.0u[2] -2u[3]
    du[4] = (-0.263158u[1] -2.0u[2] +1.0u[3] - 1.0u[4] ) *!saturated[1]
    du[5] = (u[4] -ΔPe)/(2*H)
end
#Continuous Callback
function condition(u, t, integrator)
    u[4] - 0.06
end
function affect!(integrator)
    observer[1] = true
    integrator.p[3] .= true
    integrator.u[4] = 0.06
end
cb1 = ContinuousCallback(condition, affect!, nothing);
#Discrete Callback
function condition_(u, t, integrator)
    Bool(observer[1])
end
function affect_!(integrator)#Check if the value is increasing without any limitation; if yes, continue to saturate
    integrator.p[3] .= false
    s_t = integrator.sol(integrator.t)
    s_tplus = integrator.sol(integrator.t+integrator.dt)#evaluate next value without saturation
    @show s_t[4], s_tplus[4]
    #
    if s_tplus[4] < 0.06 #if under limit, deactivate saturation
        observer[1] = false
    elseif s_tplus[4] >= 0.06#if still above limit, maintain saturation
        integrator.p[3] .= true
    end
end
cb2 = DiscreteCallback(condition_, affect_!)
cb = CallbackSet(cb1, cb2);
#DAE Solving
M = [1.0 0 0 0 0
     0 1.0 0 0 0
     0 0 1.0 0 0
     0 0 0 0 0
     0 0 0 0 1.0]
u0 = [0.0, 0.0, 0.0, 0.0, 0.0]
tspan = (0.0,30.0)
#with_logger(TerminalLogger()) do
prob = ODEProblem(ODEFunction(system!, mass_matrix = M),u0,tspan, p)
sol = solve(prob,Rodas5(), reltol = 1e-8, abstol = 1e-8, callback = cb)

Error & Stacktrace ⚠️

  • Stacktrace when discrete callback activated
No error thrown but results are erroneous.
The equation du[5] = (u[4] -ΔPe)/(2*H) should have a linear increase because in this example u[4] = 0.06 after saturation through callback and ΔPe = 0.05 . However the results are static; as if the integrator "froze" on the its last value.
  • Stacktrace when discrete callback deactivated
Warning: At t=1.722792175267728, dt was forced below floating point epsilon 2.220446049250313e-16, and step error estimate = 4041.2061747989337. Aborting. There is either an error in your model specification or the true solution is unstable (or the true solution can not be represented in the precision of Float64).

Environment :

  • Output of using Pkg; Pkg.status()
Status `C:\Users\lenovo\.julia\environments\v1.10\Project.toml`
  [0a1fb500] BlockDiagonals v0.1.42
⌃ [336ed68f] CSV v0.10.14
⌃ [717857b8] DSP v0.7.9
⌅ [a93c6f00] DataFrames v1.6.1
  [864edb3b] DataStructures v0.18.20
⌃ [0c46a032] DifferentialEquations v7.13.0
⌃ [31c24e10] Distributions v0.25.110
  [7a1cc6ca] FFTW v1.8.0
⌃ [2e9cd046] Gurobi v1.3.0
⌃ [87dc4568] HiGHS v1.9.2
  [7073ff75] IJulia v1.25.0
⌃ [b6b21f68] Ipopt v1.6.6
⌃ [4076af6c] JuMP v1.23.2
⌃ [1dea7af3] OrdinaryDiffEq v6.84.0
  [14b8a8f1] PkgTemplates v0.7.52
⌃ [91a5bcdd] Plots v1.40.4
⌃ [c3e4b0f8] Pluto v0.19.46
⌃ [f00506e0] PowerSystemCaseBuilder v1.3.6
⌃ [bcd98974] PowerSystems v4.3.1
  [33c8b6b6] ProgressLogging v0.1.4
⌃ [1fd47b50] QuadGK v2.10.1
⌃ [731186ca] RecursiveArrayTools v3.23.1
⌃ [0bca4576] SciMLBase v2.41.3
  [30cb0354] SciMLTutorials v1.0.0 `[https://github.com/SciML/SciMLTutorials.jl.git#master`](https://github.com/SciML/SciMLTutorials.jl.git#master%60)
  [3756410d] StableDistributions v1.0.1
  [f3b207a7] StatsPlots v0.15.7
⌃ [c3572dad] Sundials v4.24.0
  [5d786b92] TerminalLoggers v0.1.7
  [592b5752] Trapz v2.0.3
  [112f6efa] VegaLite v3.3.0
⌃ [fdbf4ff8] XLSX v0.10.1
  [37e2e46d] LinearAlgebra
  [10745b16] Statistics v1.10.0
  • Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Status `C:\Users\lenovo\.julia\environments\v1.10\Manifest.toml`
⌃ [47edcb42] ADTypes v1.5.2
  [621f4979] AbstractFFTs v1.5.0
  [1520ce14] AbstractTrees v0.4.5
⌃ [7d9f7c33] Accessors v0.1.36
⌃ [79e6a3ab] Adapt v4.0.4
  [66dad0bd] AliasTables v1.1.3
  [ec485272] ArnoldiMethod v0.4.0
  [7d9fca2a] Arpack v0.5.4
⌃ [4fba245c] ArrayInterface v7.11.0
⌃ [4c555306] ArrayLayouts v1.10.0
  [13072b0f] AxisAlgorithms v1.1.0
⌃ [aae01518] BandedMatrices v1.7.2
  [6e4b80f9] BenchmarkTools v1.5.0
  [d1d4a3ce] BitFlags v0.1.9
⌃ [62783981] BitTwiddlingConvenienceFunctions v0.1.5
  [0a1fb500] BlockDiagonals v0.1.42
  [a74b3585] Blosc v0.7.3
⌃ [764a87c0] BoundaryValueDiffEq v5.9.0
  [e1450e63] BufferedStreams v1.2.2
  [fa961155] CEnum v0.5.0
  [2a0fbf3d] CPUSummary v0.2.6
⌃ [336ed68f] CSV v0.10.14
⌃ [49dc2e85] Calculus v0.5.1
⌃ [d360d2e6] ChainRulesCore v1.24.0
⌃ [fb6a15b2] CloseOpenIntervals v0.1.12
  [aaaa29a8] Clustering v0.15.7
  [523fee87] CodecBzip2 v0.8.4
⌃ [944b1d66] CodecZlib v0.7.4
⌃ [35d6a980] ColorSchemes v3.25.0
⌅ [3da002f7] ColorTypes v0.11.5
  [c3611d14] ColorVectorSpace v0.10.0
⌅ [5ae59095] Colors v0.12.11
  [38540f10] CommonSolve v0.2.4
⌃ [bbf7d656] CommonSubexpressions v0.3.0
⌃ [34da2185] Compat v4.15.0
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
⌃ [f0e56b4a] ConcurrentUtilities v2.4.1
  [8f4d0f93] Conda v1.10.2
  [5218b696] Configurations v0.17.6
⌃ [187b0558] ConstructionBase v1.5.5
  [d38c429a] Contour v0.6.3
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [a10d1c49] DBInterface v2.6.1
⌃ [717857b8] DSP v0.7.9
  [9a962f9c] DataAPI v1.16.0
⌅ [a93c6f00] DataFrames v1.6.1
  [864edb3b] DataStructures v0.18.20
  [e2d170a0] DataValueInterfaces v1.0.0
  [e7dc6d0d] DataValues v0.4.13
⌃ [bcd4f6db] DelayDiffEq v5.47.3
  [8bb1440f] DelimitedFiles v1.9.1
⌃ [2b5f629d] DiffEqBase v6.151.5
⌅ [459566f4] DiffEqCallbacks v3.6.2
⌃ [77a26b50] DiffEqNoiseProcess v5.21.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
⌃ [0c46a032] DifferentialEquations v7.13.0
⌅ [a0c0ee7d] DifferentiationInterface v0.5.6
⌃ [b4f34e82] Distances v0.10.11
⌃ [31c24e10] Distributions v0.25.110
  [ffbed154] DocStringExtensions v0.9.3
  [fa6b7ba4] DualNumbers v0.6.8
  [4e289a0a] EnumX v1.0.4
⌅ [f151be2c] EnzymeCore v0.7.6
  [460bff9d] ExceptionUnwrapping v0.1.10
  [d4d017d3] ExponentialUtilities v1.26.1
  [e2ba6199] ExprTools v0.1.10
⌃ [21656369] ExpressionExplorer v1.0.4
  [55351af7] ExproniconLite v0.10.13
  [8f5d6c58] EzXML v1.2.0
⌃ [c87230d0] FFMPEG v0.4.1
  [7a1cc6ca] FFTW v1.8.0
⌃ [9d29842c] FastAlmostBandedMatrices v0.1.3
⌃ [7034ab61] FastBroadcast v0.3.4
  [9aa1b823] FastClosures v0.3.2
  [29a986be] FastLapackInterface v2.0.4
⌃ [5789e2e9] FileIO v1.16.3
  [8fc22ac5] FilePaths v0.8.3
⌃ [48062228] FilePathsBase v0.9.21
⌃ [1a297f60] FillArrays v1.11.0
⌃ [6a86dc24] FiniteDiff v2.23.1
  [26cc04aa] FiniteDifferences v0.12.32
  [53c48c17] FixedPointNumbers v0.8.5
  [1fa38f19] Format v1.3.7
  [f6369f11] ForwardDiff v0.10.36
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
⌃ [d9f16b24] Functors v0.4.11
⌅ [fb4132e2] FuzzyCompletions v0.5.4
⌅ [46192b85] GPUArraysCore v0.1.6
⌃ [28b8d3ca] GR v0.73.6
  [c145ed77] GenericSchur v0.5.4
⌃ [86223c79] Graphs v1.11.1
  [42e2da0e] Grisu v1.0.2
⌃ [2e9cd046] Gurobi v1.3.0
  [c8ec2601] H5Zblosc v0.1.2
  [f67ccb44] HDF5 v0.17.2
  [cd3eb016] HTTP v1.10.8
⌃ [87dc4568] HiGHS v1.9.2
  [eafb193a] Highlights v0.5.3
⌃ [3e5b6fbb] HostCPUFeatures v0.1.16
⌃ [34004b35] HypergeometricFunctions v0.3.23
  [ac1192a8] HypertextLiteral v0.9.5
  [7073ff75] IJulia v1.25.0
  [615f187c] IfElse v0.1.1
  [d25df0c9] Inflate v0.1.5
⌃ [2cd47ed4] InfrastructureSystems v2.2.0
  [842dd82b] InlineStrings v1.4.2
  [a98d9a8b] Interpolations v0.15.1
⌃ [3587e190] InverseFunctions v0.1.14
  [41ab1584] InvertedIndices v1.3.0
⌃ [b6b21f68] Ipopt v1.6.6
  [92d709cd] IrrationalConstants v0.2.2
  [c8e1da08] IterTools v1.10.0
  [82899510] IteratorInterfaceExtensions v1.0.0
⌃ [1019f520] JLFzf v0.1.7
⌃ [692b3bcd] JLLWrappers v1.5.0
  [682c06a0] JSON v0.21.4
⌃ [0f8b85d8] JSON3 v1.14.0
⌃ [7d188eb4] JSONSchema v1.4.0
⌃ [4076af6c] JuMP v1.23.2
⌃ [ccbc3e58] JumpProcesses v9.11.1
  [ef3ab10e] KLU v0.6.0
  [5ab0869b] KernelDensity v0.6.9
⌃ [ba0b0d4f] Krylov v0.9.6
⌃ [b964fa9f] LaTeXStrings v1.3.1
⌃ [23fbe1c1] Latexify v0.16.3
  [10f19ff3] LayoutPointers v0.1.17
  [0e77f7df] LazilyInitializedFields v1.2.2
⌃ [5078a376] LazyArrays v2.1.0
  [1d6d02ad] LeftChildRightSiblingTrees v0.2.0
  [2d8b4e74] LevyArea v1.0.0
⌃ [d3d80556] LineSearches v7.2.0
⌃ [7ed4a6bd] LinearSolve v2.30.2
  [2ab3a3ac] LogExpFunctions v0.3.28
⌃ [e6f89c97] LoggingExtras v1.0.3
⌃ [bdcacae8] LoopVectorization v0.12.170
  [6c6e2e6c] MIMEs v0.1.4
  [3da0fdf6] MPIPreferences v0.1.11
  [1914dd2f] MacroTools v0.5.13
⌃ [36869731] Malt v1.1.1
  [d125e4d3] ManualMemory v0.1.8
⌃ [b8f27783] MathOptInterface v1.31.2
⌃ [a3b82374] MatrixFactorizations v3.0.0
⌃ [bb5d69b7] MaybeInplace v0.1.3
  [739be429] MbedTLS v1.1.9
  [442fdcdd] Measures v0.3.2
  [e1d29d7a] Missings v1.2.0
⌅ [78c3b35d] Mocking v0.7.9
  [99f44e22] MsgPack v1.2.1
  [46d2c3a1] MuladdMacro v0.2.4
  [6f286f6a] MultivariateStats v0.10.3
  [ffc61752] Mustache v1.0.20
⌃ [d8a4904e] MutableArithmetics v1.4.6
  [d41bc354] NLSolversBase v7.8.3
  [2774e3e8] NLsolve v4.5.1
  [77ba4419] NaNMath v1.0.2
  [b8a86587] NearestNeighbors v0.4.20
  [2bd173c7] NodeJS v2.0.0
⌃ [8913a72c] NonlinearSolve v3.13.1
  [510215fc] Observables v0.5.5
⌃ [6fe1bfb0] OffsetArrays v1.14.0
  [4d8831e6] OpenSSL v1.4.3
  [429524aa] Optim v1.9.4
  [bac558e1] OrderedCollections v1.6.3
⌃ [1dea7af3] OrdinaryDiffEq v6.84.0
  [90014a1f] PDMats v0.11.31
  [65ce6f38] PackageExtensionCompat v1.0.2
  [d96e819e] Parameters v0.12.3
  [69de0a69] Parsers v2.8.1
  [b98c9c47] Pipe v1.3.0
  [14b8a8f1] PkgTemplates v0.7.52
  [ccf2f8ad] PlotThemes v3.2.0
⌃ [995b91a9] PlotUtils v1.4.1
⌃ [91a5bcdd] Plots v1.40.4
⌃ [c3e4b0f8] Pluto v0.19.46
⌅ [72656b73] PlutoDependencyExplorer v1.0.4
  [e409e4f3] PoissonRandom v0.4.4
⌃ [f517fe37] Polyester v0.7.15
⌃ [1d0040c9] PolyesterWeave v0.2.1
  [f27b6e38] Polynomials v4.0.11
  [2dfb63ee] PooledArrays v1.4.3
  [85a6dd25] PositiveFactorizations v0.2.4
  [dd99e9e3] PowerFlowData v1.5.0
⌃ [f00506e0] PowerSystemCaseBuilder v1.3.6
⌃ [bcd98974] PowerSystems v4.3.1
⌃ [d236fae5] PreallocationTools v0.4.22
  [91cefc8d] PrecompileSignatures v3.0.3
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
⌃ [08abe8d2] PrettyTables v2.3.2
  [33c8b6b6] ProgressLogging v0.1.4
⌃ [43287f4e] PtrArrays v1.2.0
⌃ [1fd47b50] QuadGK v2.10.1
  [74087812] Random123 v1.7.0
⌃ [e6cf234a] RandomNumbers v1.5.3
  [c84ed2f1] Ratios v0.4.5
  [3cdcf5f2] RecipesBase v1.3.4
  [01d81517] RecipesPipeline v0.6.12
⌃ [731186ca] RecursiveArrayTools v3.23.1
  [f2c3362d] RecursiveFactorization v0.2.23
  [189a3867] Reexport v1.2.2
  [2792f1a3] RegistryInstances v0.1.0
  [05181044] RelocatableFolders v1.0.1
  [ae029012] Requires v1.3.0
  [ae5879a3] ResettableStacks v1.1.1
  [708f8203] Richardson v1.4.2
⌅ [79098fc4] Rmath v0.7.1
  [7e49a35a] RuntimeGeneratedFunctions v0.5.13
  [94e857df] SIMDTypes v0.1.0
⌃ [476501e8] SLEEFPirates v0.6.42
  [0aa819cd] SQLite v1.6.1
⌃ [0bca4576] SciMLBase v2.41.3
⌃ [c0aeaf25] SciMLOperators v0.3.8
⌃ [53ae85a6] SciMLStructures v1.3.0
  [30cb0354] SciMLTutorials v1.0.0 `[https://github.com/SciML/SciMLTutorials.jl.git#master`](https://github.com/SciML/SciMLTutorials.jl.git#master%60)
  [6c6a2e73] Scratch v1.2.1
⌃ [91c51154] SentinelArrays v1.4.5
  [efcf1570] Setfield v1.1.1
  [992d4aef] Showoff v1.0.3
⌃ [777ac1f9] SimpleBufferStream v1.1.0
⌃ [727e6d20] SimpleNonlinearSolve v1.10.1
  [699a6c99] SimpleTraits v0.9.4
  [ce78b400] SimpleUnPack v1.1.0
  [b85f4697] SoftGlobalScope v1.1.0
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⌃ [47a9eef4] SparseDiffTools v2.19.0
⌅ [0a514795] SparseMatrixColorings v0.3.3
  [e56a9233] Sparspak v0.3.9
  [276daf66] SpecialFunctions v2.4.0
  [3756410d] StableDistributions v1.0.1
⌅ [aedffcd0] Static v0.8.10
⌃ [0d7ed370] StaticArrayInterface v1.5.1
⌃ [90137ffa] StaticArrays v1.9.5
  [1e83bf80] StaticArraysCore v1.4.3
  [82ae8749] StatsAPI v1.7.0
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⌃ [4c63d2b9] StatsFuns v1.3.1
  [f3b207a7] StatsPlots v0.15.7
⌃ [9672c7b4] SteadyStateDiffEq v2.2.0
⌃ [789caeaf] StochasticDiffEq v6.65.1
⌃ [7792a7ef] StrideArraysCore v0.5.6
  [69024149] StringEncodings v0.3.7
⌅ [892a3eda] StringManipulation v0.3.4
⌃ [856f2bd8] StructTypes v1.10.0
⌃ [c3572dad] Sundials v4.24.0
⌃ [2efcf032] SymbolicIndexingInterface v0.3.22
  [ab02a1b2] TableOperations v1.2.0
  [3783bdb8] TableTraits v1.0.1
  [382cd787] TableTraitsUtils v1.0.2
⌃ [bd369af6] Tables v1.11.1
  [62fd8b95] TensorCore v0.1.1
  [5d786b92] TerminalLoggers v0.1.7
  [8290d209] ThreadingUtilities v0.5.2
  [9e3dc215] TimeSeries v0.24.2
⌃ [a759f4b9] TimerOutputs v0.5.24
⌅ [3bb67fe8] TranscodingStreams v0.10.10
  [592b5752] Trapz v2.0.3
⌃ [d5829a12] TriangularSolve v0.2.0
⌃ [410a4b4d] Tricks v0.1.8
  [781d530d] TruncatedStacktraces v1.4.0
  [30578b45] URIParser v0.4.1
  [5c2747f8] URIs v1.5.1
  [3a884ed6] UnPack v1.0.2
  [1cfade01] UnicodeFun v0.4.1
⌃ [1986cc42] Unitful v1.20.0
⌃ [45397f5d] UnitfulLatexify v1.6.3
  [41fe7b60] Unzip v0.2.0
⌃ [3d5dd08c] VectorizationBase v0.21.69
  [239c3e63] Vega v2.7.0
  [112f6efa] VegaLite v3.3.0
  [81def892] VersionParsing v1.3.0
  [19fa3120] VertexSafeGraphs v0.2.0
  [ea10d353] WeakRefStrings v1.4.2
  [44d3d7a6] Weave v0.10.12
  [cc8bc4a8] Widgets v0.6.6
  [efce3f68] WoodburyMatrices v1.0.0
  [76eceee3] WorkerUtilities v1.6.1
⌃ [fdbf4ff8] XLSX v0.10.1
  [ddb6d928] YAML v0.4.12
⌃ [c2297ded] ZMQ v1.2.6
  [a5390f91] ZipFile v0.10.1
  [ae81ac8f] ASL_jll v0.1.3+0
⌅ [68821587] Arpack_jll v3.5.1+1
⌃ [0b7ba130] Blosc_jll v1.21.5+0
⌃ [6e34b625] Bzip2_jll v1.0.8+1
⌃ [83423d85] Cairo_jll v1.18.0+2
  [2702e6a9] EpollShim_jll v0.0.20230411+0
  [2e619515] Expat_jll v2.6.2+0
⌅ [b22a6f82] FFMPEG_jll v4.4.4+1
⌃ [f5851436] FFTW_jll v3.3.10+0
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⌃ [7746bdde] Glib_jll v2.80.2+0
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⌃ [c018c7e6] Gurobi_jll v11.0.2+2
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⌃ [1d5cc7b8] IntelOpenMP_jll v2024.1.0+0
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⌃ [aacddb02] JpegTurbo_jll v3.0.3+0
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⌅ [88015f11] LERC_jll v3.0.0+1
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⌃ [dd4b983a] LZO_jll v2.10.2+0
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⌃ [7add5ba3] Libgpg_error_jll v1.49.0+0
⌃ [94ce4f54] Libiconv_jll v1.17.0+0
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⌅ [89763e89] Libtiff_jll v4.5.1+1
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⌃ [5ced341a] Lz4_jll v1.10.0+0
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⌃ [856f044c] MKL_jll v2024.1.0+0
⌃ [7cb0a576] MPICH_jll v4.2.2+0
⌃ [f1f71cc9] MPItrampoline_jll v5.4.0+0
⌅ [d7ed1dd3] MUMPS_seq_jll v500.700.300+0
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⌅ [656ef2d0] OpenBLAS32_jll v0.3.24+0
⌅ [fe0851c0] OpenMPI_jll v4.1.6+0
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⌃ [f638f0a6] libfdk_aac_jll v2.0.2+0
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⌃ [a9144af2] libsodium_jll v1.0.20+0
⌃ [f27f6e37] libvorbis_jll v1.3.7+1
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⌅ [dfaa095f] x265_jll v3.5.0+0
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  [9fa8497b] Future
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  [2f01184e] SparseArrays v1.10.0
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  • Output of versioninfo()
Julia Version 1.10.4
Commit 48d4fd4843 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 8 × 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, tigerlake)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)
@oscardssmith oscardssmith self-assigned this Oct 29, 2024
@oscardssmith
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Does updating packages not make a difference?

@MouhamedFall99
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Does updating packages not make a difference?

I just updated it but the issue is still present !

@ChrisRackauckas
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Because discrete callbacks resolve immediately after continuous callbacks, so the DiscreteCallback would be true on the same time as the ContinuousCallback affect!. Is that what you wanted or did you want it to take a step with the new dynamics first? Because if that's the case, then integrator.p[3] == false in the first trigger, which means s_tplus[4] < 0.06 and it just turns off the DiscreteCallback before it does anything? That does not seem like sensible logic.

@MouhamedFall99
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I first wrote this example while having a wrong understanding of the interpolar's capabilities. You already told me on Julia discourse that modifying the problem won't cause the interpolator to be updated during that integration step. That initial wrong understanding is the reason why the example is ill-conceived.
My intent was to extrapolate the futur ODE's output under a different configuration (du[4] = 0) of the problem that was being solved. (is that even possible ?)
So to answer your question, I wanted the discrete callback to start monitoring the output just after the continuous callback had fired. Because as the timestep is adaptive, I feared that the timestepping could be so big that I would miss the right time for deactivating the saturation.

@ChrisRackauckas
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This seems like a better fit for the integrator interface?

@MouhamedFall99
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MouhamedFall99 commented Nov 18, 2024

In case my explanations are fuzzy, this is a visual representation of what I want to do.
simulink_output

The right graph is the saturated output and to deactivate the saturation I need to be able to predict the unsaturated output. There are probably better ways to do it though

@MouhamedFall99
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This seems like a better fit for the integrator interface?

That's a short sentence which feels like a question and an assertion at the same time xD...

@MouhamedFall99
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Quick question : is it possibile using the integrator interface to (i) reject a solution at timestep t, (ii) modify the problem and (iii) backtrack to t-dt in order to continue the solving process under new conditions ?

Plus, modifying the problem causes the solver to struggle with the discontinuity (even though the modification happened in a callback).

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