Closed EthanJamesLew closed 3 months ago
@EthanJamesLew Continuous Koopman works well for systems with no inputs but seems to suffer for systems with inputs. For example in the autokoopman-introduction notebook and for the PendulumWithInput benchmark. These two figures show the difference between discrete and continuous learning, with the worse fit for continuous learning. Could this potentially be due to a mismatch in input step and system step which isn't handled well by continuous learning?
closing for now
From meeting 02/23
Look into the accuracy here--the fit is suspect.
This is needed for the reachability work.
CC @Abdu-Hekal