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docs: temporarily remove downstream libs from docs, mark some pages as draft
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docs/Project.toml

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@@ -4,7 +4,6 @@ BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
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BifurcationKit = "0f109fa4-8a5d-4b75-95aa-f515264e7665"
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CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
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ControlSystemsBase = "aaaaaaaa-a6ca-5380-bf3e-84a91bcd477e"
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ControlSystemsMTK = "687d7614-c7e5-45fc-bfc3-9ee385575c88"
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DataInterpolations = "82cc6244-b520-54b8-b5a6-8a565e85f1d0"
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Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
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Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
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ModelingToolkitStandardLibrary = "16a59e39-deab-5bd0-87e4-056b12336739"
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NonlinearSolve = "8913a72c-1f9b-4ce2-8d82-65094dcecaec"
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Optim = "429524aa-4258-5aef-a3af-852621145aeb"
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Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
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OptimizationBase = "bca83a33-5cc9-4baa-983d-23429ab6bcbb"
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OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
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OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
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Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
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PreallocationTools = "d236fae5-4411-538c-8e31-a6e3d9e00b46"
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Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
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Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
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[sources]
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ModelingToolkitStandardLibrary = {rev = "mtk-v10", url = "https://github.com/SciML/ModelingToolkitStandardLibrary.jl/"}
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OptimizationBase = {rev = "as/mtk-v10", url = "https://github.com/AayushSabharwal/OptimizationBase.jl"}
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[compat]
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Attractors = "1.24"
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BenchmarkTools = "1.3"
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ModelingToolkitStandardLibrary = "2.19"
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NonlinearSolve = "3, 4"
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Optim = "1.7"
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Optimization = "3.9, 4"
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OptimizationOptimJL = "0.1, 0.4"
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OrdinaryDiffEq = "6.31"
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Plots = "1.36"
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PreallocationTools = "0.4"

docs/src/examples/remake.md

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```@meta
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Draft = true
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```
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# Optimizing through an ODE solve and re-creating MTK Problems
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Solving an ODE as part of an `OptimizationProblem`'s loss function is a common scenario.

docs/src/tutorials/disturbance_modeling.md

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```@meta
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Draft = true
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```
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# Disturbance and input modeling modeling
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Disturbances are often seen as external factors that influence a system. Modeling and simulation of such external influences is common in order to ensure that the plant and or control system can adequately handle or suppress these disturbances. Disturbance modeling is also integral to the problem of state estimation, indeed, modeling how disturbances affect the evolution of the state of the system is crucial in order to accurately estimate this state.

docs/src/tutorials/optimization.md

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```@meta
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Draft = true
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```
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# Modeling Optimization Problems
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ModelingToolkit.jl is not only useful for generating initial value problems (`ODEProblem`).

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