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

Lu Wang, Ning Li, Shaoyuan Li
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引用次数: 2

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.
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NIAT过程平台的数据驱动子空间识别与预测控制
针对NIAT平台,提出了一种数据驱动的子空间识别方法和模型预测控制器。首先,采用数据驱动的子空间识别方法进行过程建模。在此基础上,设计了预测控制器。然后分别考虑平台的SISO/ TITO案例。实验结果验证了所提方法的建模和控制效果。
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