2020
Almost Surely Stable Deep Dynamics
NeurIPS 2020spotlight
We introduce a method for learning provably stable deep neural network based dynamic models from observed data. Specifically, we consider discrete-time stochastic dynamic models, as they are of particular interest in practical applications such as estimation and control. However, these aspects exace…