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A data-driven subspace identification algorithm for industrial 4-stage evaporator
Lin, Xueshan1; Luo, Xiaosuo1,2
2019
发表期刊International Journal of Circuits, Systems and Signal Processing
卷号13页码:558-562
摘要For the problem that it is difficult in building the accurate mechanism models of the industrial 4-stage evaporator, A new data-driven subspace identification algorithm is proposed. Firstly, a basic procedure of subspace identification method is introduced. Then, the state-space model, obtained from the PO-MOESP (Past Output MOESP, MOESP is one form of the subspace identification methods) algorithm, is regarded as the system model. Lastly, it is applied to the process simulation on the industrial 4-stage evaporator. Through comparisons of performance with a traditional subspace identification algorithm, the superiority of the proposed algorithm is illustrated. © 2019, North Atlantic University Union. All rights reserved.
关键词State space methods Basic procedure Data-driven methods Mechanism model Process simulations State space models Subspace identification Subspace identification methods System modeling
收录类别EI
语种英语
出版者North Atlantic University Union NAUN
EI入藏号20194307576594
EI分类号802.1 Chemical Plants and Equipment ; 921 Mathematics
原始文献类型Journal article (JA)
文献类型期刊论文
条目标识符https://ir.cqcet.edu.cn/handle/39TD4454/3100
专题重庆电子科技职业大学
作者单位1.Chongqing College of Electronic Engineering, Chongqing; 401331, China;
2.School of Automation, Chongqing University, Chongqing; 400044, China
第一作者单位重庆电子科技职业大学
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GB/T 7714
Lin, Xueshan,Luo, Xiaosuo. A data-driven subspace identification algorithm for industrial 4-stage evaporator[J]. International Journal of Circuits, Systems and Signal Processing,2019,13:558-562.
APA Lin, Xueshan,&Luo, Xiaosuo.(2019).A data-driven subspace identification algorithm for industrial 4-stage evaporator.International Journal of Circuits, Systems and Signal Processing,13,558-562.
MLA Lin, Xueshan,et al."A data-driven subspace identification algorithm for industrial 4-stage evaporator".International Journal of Circuits, Systems and Signal Processing 13(2019):558-562.
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