Ilia Ilmer
Ilia Ilmer
@finmod Thank you for pointing out the typos, I created a pr #1443 to fix them! I will take a look at `ContinuousDataDrivenProblem` soon
Hi, so is there a way to disable showing the banner by default when using Oscar as a dependency in a project? In out code, we have not just Oscar...
@fingolfin I put this line at the top of my module like so: ```Julia module MyModule ENV["NEMO_PRINT_BANNER"] = "false" ``` and it still prints the banner. Is it such placement...
Thank you for your response @saschatimme. So I changed all large coefficients to 1's in the system below: ```julia S=[1 - x1_0 - u₁*x2_0 x1_1 - a*u₂*x1_0 + b*x1_0*x2_0 c*x2_0...
@saschatimme thank you for pointing this out, I will check the same on another system. Is there any particular rule for adding parameters `u`?
Right now I tried to make it work with `FiniteField` but it has not worked yet due to this error: https://github.com/SciML/StructuralIdentifiability.jl/runs/4762906264?check_suite_focus=true#step:5:989. I have not figured it out yet, I think...
If I understand correctly, would this require solving a system `Sum(A[i] Diff(x[i], t^j))=0` to find the coefficients `A[i]`?
> What is `Diff(x[i], t^j)` in your notation? j-th Lie derivative of x[i], the i-th state variable.
Not entirely, sorry. I understand the starting idea: we have one linear combination for which we seek coefficients A[i]. We would need to differentiate w.r.t. time several times to obtain...
Thank you, it helped! I still get a Koopman error, I think it's similar to #370 .