A Comparative Study Between Multiple Affine Models and Nonlinear Model in Predictive Control

This paper presents a new methodology using multiple affine models to represent a nonlinear SISO system. Two Model Predictive Control strategies are compared. The Nonlinear Model Predictive Control (NMPC) and the Linear Model Predictive Control (LMPC) applied to multiple affine models. The NMPC scheme uses two optimization methods in convex and non-convex cases. The enhancements offered by LMPC based on affine models are illustrated through simulation results.