MOR methods for LinearStochasticModels
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- Python
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Description
LinearStochasticModels are very similar in form to BilinearModels, so methods in #396 could be used here, except transfer functions are not defined for stochastic systems, which doesn't allow interpolation-based methods.
Here are references for balancing-type methods:
[1] https://www.wias-berlin.de/people/redmann/MoRePas_Preprint.pdf
[2] https://www.wias-berlin.de/people/redmann/btstoch.pdf
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
No files or tests are named. Start by reviewing the methods proposed in issue #396 and the two linked references, focusing on balancing-type methods for LinearStochasticModels rather than transfer-function interpolation. Done means implementing an agreed set of stochastic model-order-reduction methods with suitable validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100