Almost Surely Stable Deep Dynamics

Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes +2

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, a…