SciML / SciML/DataDrivenDiffEq.jl
Imposing stability in DMD
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 430
- Forks
- 58
- Avg merge
- 6h 29m
- Merged PRs (30d)
- 28
Description
It would be nice to have a mechanism to impose stability of an estimated Koopman operator. One such mechanism which is commaonly employed for subspace-based identification is
https://www.researchgate.net/publication/3891703_Imposing_stability_in_subspace_identification_by_regularization
for which there is an implementation here
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked paper and the referenced ControlSystemIdentification.jl implementation in src/subspace.jl. Then locate the Koopman-operator estimation code in DataDrivenDiffEq.jl and determine an appropriate integration point. Done should mean the project exposes a mechanism for imposing stability, with tests showing that the estimated operator satisfies the intended stability constraint.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100