Computational Load Comparison of Multiplexed and Standard Model Predictive Control

Abstract

Multiplexed Model Predictive Control (MMPC) has been motivated as a strategy to reduce real-time computational load carried out by the controller in solving a finite-time constrained optimisation problem online. In this paper, we carried out experiments to compare the computational load of MMPC and standard MPC. The experiments were carried out on a multizone thermal processing equipment commonly used in semiconductor manufacturing. The results showed that MMPC has computational advantage over the standard MPC, for large horizon and when constraints are present.