A Data-Driven Closed-loop Subspace-aided Approach to Predictive Controller Design

被引：0

作者：

Wu, Xinwei ^{[1
]}

Yang, Xuebo ^{[1
]}

Gao, Tianyi ^{[1
]}

机构：

[1] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China

来源：

45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Data-driven approach; closed-loop system; predictive control; subspace-aided method;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A novel data-driven closed-loop subspace-aided approach to predictive controller design is proposed in this paper. The basic idea of the proposed method is to construct an instrumental variable which contributes to extending the standard LQ factorization to the closed-loop situation. Moreover, the predictive controller can be directly obtained from the input/output data with the subspace-aided technique by minimizing the normal predictive objective function. The efficiency of the proposed method is eventually verified and demonstrated through a numerical study on a randomly generated three-order discrete-time linear time invariant (LTI) system.

引用

页码：3725 / 3730

页数：6

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