NIAT过程平台的数据驱动子空间识别与预测控制

2012 24th Chinese Control and Decision Conference (CCDC) Pub Date : 2012-05-23 DOI:10.1109/CCDC.2012.6244263

Lu Wang, Ning Li, Shaoyuan Li

{"title":"NIAT过程平台的数据驱动子空间识别与预测控制","authors":"Lu Wang, Ning Li, Shaoyuan Li","doi":"10.1109/CCDC.2012.6244263","DOIUrl":null,"url":null,"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.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Data-driven subspace identification and predictive control for a NIAT process platform\",\"authors\":\"Lu Wang, Ning Li, Shaoyuan Li\",\"doi\":\"10.1109/CCDC.2012.6244263\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":345790,\"journal\":{\"name\":\"2012 24th Chinese Control and Decision Conference (CCDC)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 24th Chinese Control and Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2012.6244263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 24th Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2012.6244263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 24th Chinese Control and Decision Conference (CCDC)

自引率

0.00%

发文量