ABSTRACT
The goal of this paper is to report on the application of several dynamic neural networks to identify the dynamics of a nonlinear dynamical system (wind tunnel). Several focused architectures based on both the TDNN (time delay neural network) and the Gamma model were utilized. We found that the Gamma model outperformed the TDNN architecture for the identification of the system dynamics. An NARMA model provided the best results.
