Fundamental Theorems of Averaging for Functional Differential Equations

In this paper, we improve on classical averaging theorems for functional differential equations by proposing new averaged models. Specifically, we present averaged models which retain functional dependence on state variables (delays) and additional parametric dependence. As shown in three examples, the new models often yield improvements in approximation accuracy