Efficient Reference Tracking in Uncertain Nonlinear Systems using Meta-Learned Neural Predictive Models

A meta-learning framework that leverages data from similar source systems to quickly adapt a neural predictive model to a target system, enabling efficient reference tracking in uncertain nonlinear systems.