S. Bernal

Neural Network Complexity Analysis for Data-Driven NARX Identification of a Pneumatic Levitation System

This paper addresses nonlinear system identification using neural networks within a nonlinear autoregressive model with exogenous input (NARX) framework. An unknown discrete-time dynamic system is modeled from 4000 normalized input–output samples acquired at a sampling time of 0.2 s. A systematic study is conducted to...