Regularisation on state trajectory #154
Description
The identification methods in this package allow adding a regularisation term to the loss for better convergence. It would be nice if we could regularise not only the parameters and obtained system but also on the simulated trajectory. This would allow punishing states which are physically nonsensical (temperatures below 0K...) which would allow some form of "physics-informed system identification" to obtain systems with physically sensible non-observable states. This could be done by adding an argument to the regularisation function in state space identification methods (e.g. going from regularizer = (p, P) -> 0 to regularizer = (p, P, simresult) -> 0).
Activity
baggepinnen commentedon Jul 9, 2024
Thanks for the feature request! Check out the PR #155, I hope it addresses your request
CasBex commentedon Jul 9, 2024
I'll have a look later today, thanks for the quick response
CasBex commentedon Jul 9, 2024
Alright, I've tested it and it seems to work. Weighting the various regularisation terms in my problem to get a good result remains rather difficult, but I guess that's application dependent.
Will you include this in the other state-space models as well or only structured_pem?
baggepinnen commentedon May 13, 2026
For closure, user-provided regularization cannot easily be added to other methods since they use a black-box basis which the user cannot reason about.