Identification of a nonlinear motor system with neural networks

Abstract

In this paper, system identification with neural networks is studied. The insufficiency of a static feedforward neural network and a single-layer real-time recurrent neural network in system identification is discussed. Also, a modified recurrent network is proposed for a remedy. Derivations and simulations are provided to verify the beneficial properties of the proposed network.