Nonlinear predictive control based on NARX models with structure identification

A new nonlinear model predictive control (NMPC) based on NARX modeling with structure detection algorithm is presented in this paper. The scheme employs a nonlinear structure identification procedure known as Kortman-Unbehauen algorithm. A suitable NARX model is then stated which enables computation of the prediction used to design the nonlinear model predictive control law. Performance and robustness properties of the new scheme are illustrated by several simulation results.