Prior physical knowledge to constrain the model

[Marcel0436]

Hello!

I am modeling an RLC circuit for alternating current (AC) using a data-driven approach. However, the model is diverging from the analytical solution.
I am seeking to incorporate prior physical knowledge into PySINDy. To that end, I have read about the topic, but I still do not fully understand how to implement prior physical constraints. How can I use prior physical knowledge in PySINDy? Could someone please help me?

[Jacob-Stevens-Haas]

If you know some of the terms in the equation, you can set equality constraints using a feature library that supports them: ConstrainedSR3 (including it's subclass TrappingSR3) or MIOSR.

If the model you discover diverges to infinity, then try using TrappingSR3, which enforces global stability of solutions but requires more in-depth knowledge.

[Marcel0436]

Thank you for your response! I still have some doubts about the implementation, and so far, in my attempts, I have encountered more questions and errors. Do you think the Plasma Physics notebook example would be a good reference for me? In that example, constrainedSR3 was used.
Additionally, I am currently working with an RLC circuit to understand how to use PySINDy, but my main goal is to develop the program to model a plasma jet based on experimental data.