ORNL / ORNL/GridKit

Expose state derivative yp_ for signals

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#456 7 comments 0 reactions 2 assignees View on GitHub

@lukelowry is already working on this.

Since Jun 26, 2026.

enhancement question
Dominant language
C++
Stars
27
Forks
11
Avg merge
3d 8h
Merged PRs (30d)
23

Description

Summary

For a given signal of state y wired into a model, that model should also have access to the derivative yp

Rationale

Many models read external derivatives

Description

Expose state and state derivative for a given signal. Concerns/questions of mine:

  • This only makes sense for differential variables, so we should use tag_ to validate, I think
  • This might possibly add some non-trivial inclusion of $\alpha$ directly into the equations? unsure
Additional information

@nkoukpaizan I would like to know your thoughts on this.

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