Data-driven Subspace Identification and Predictive Control for a NIAT Process Platform

摘要：

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.

关键词： Data-driven subspace identification model predictive control NIAT platform

作者: Lu Wang Ning Li Shaoyuan Li

作者单位: Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Inform Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Inform

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1660-1665

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）