More robust DOCP solving wrt numerical errors

Issue: we sometimes get numerical errors (usually for trigonometric functions) on some problems, which are currently not caught and abort the execution

Improvement: use a `try-catch` on the NLP solver call, and in case of errors pursue the execution by returning a dummy solution with `successful=false` and maybe some information in the text message.

This will allow better testing of the difficult problems.