Paper ID: 2111.06084

On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation

Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone

We identify an issue in recent approaches to learning-based control that reformulate systems with uncertain dynamics using a stochastic differential equation. Specifically, we discuss the approximation that replaces a model with fixed but uncertain parameters (a source of epistemic uncertainty) with a model subject to external disturbances modeled as a Brownian motion (corresponding to aleatoric uncertainty).

Submitted: Nov 11, 2021