Dynamical implications of using neural networks as controllers

Abstract

The authors examine the usefulness of the feedforward neural network as a controller. For illustrative purposes, the authors consider the case of controlling two-dimensional linear systems. Observations are then made which generalize to higher dimensions and nonlinear systems. Examples are provided to verify the results. In particular, a classical power system stabilizer is examined to demonstrate the feasibility of using a neural controller.<>