An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
The input/output causality specifiers do not seem to work properly. Or it is rather an equation system simplification issue given the time when the error occurs.
The following test model is a serial RC-circuit with variable resistance. Commenting out the input and output specifiers of the RealInput and RealOuput declarations seems to fix it.
It's not related to input/outputs. It's just the observed function generation isn't robust. I recommend to use ODEProblem when you encounter issues with the ODAEProblem.
Hi,
The input/output causality specifiers do not seem to work properly. Or it is rather an equation system simplification issue given the time when the error occurs. The following test model is a serial RC-circuit with variable resistance. Commenting out the input and output specifiers of the
RealInput
andRealOuput
declarations seems to fix it.The error message is
The script is
My environment is: