Data-driven subspace identification and predictive control for a NIAT process platform

Abstract

In this paper, a data-driven subspace identification method and a model predictive controller are presented for a NIAT platform. First, a data-driven subspace identification method for the process modeling is used. Based on the model, we design a predictive controller. Then considering SISO/ TITO cases of the platform respectively. Both the modeling and control effectiveness of the proposed methods are validated by the experiments' results.