SciML / SciML/ModelOrderReduction.jl
Controller Reduction
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 43
- Forks
- 8
- Avg merge
- 11h 47m
- Merged PRs (30d)
- 14
Description
From the catch-all tracking issue https://github.com/SciML/ModelOrderReduction.jl/issues/78
Implement controller reduction methods that account for closed-loop performance (e.g. weighted/coprime-factor controller reduction). Related Julia reference: controller_reduction in RobustAndOptimalControl.jl.
https://people.kth.se/~hsan/modred_files/intro_modred.pdf
https://github.com/JuliaControl/RobustAndOptimalControl.jl/blob/master/src/reduction.jl
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 with the controller_reduction implementation in RobustAndOptimalControl.jl's src/reduction.jl and read the linked model-reduction introduction. Compare those references with the catch-all issue to determine the intended weighted or coprime-factor methods. Done means controller reduction methods that account for closed-loop performance are implemented in ModelOrderReduction.jl.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- hpc
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100