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Analysis and Correction of Ill-Conditioned Model in Multivariable Model Predictive Control
Pan H(潘昊); Yu HB(于海斌); Zou T(邹涛); Du DW(杜德伟)
Department信息服务与智能控制技术研究室
Conference Name8th International Conference on Intelligent Robotics and Applications (ICIRA 2015)
Conference DateAugust 24-27, 2015
Conference PlacePortsmouth, UK
Source PublicationLecture Notes in Computer Science
PublisherSpringer Verlag
Publication PlaceBerlin
2015
Pages619-631
Indexed ByEI ; CPCI(ISTP)
EI Accession number20163702786436
WOS IDWOS:000364714000056
Contribution Rank1
ISSN0302-9743
ISBN978-3-319-22878-5
KeywordModel Predictive Control Model Ill-conditioned Problem Singular Value Decomposition (Svd) Model Identification Model Mismatch
AbstractThe ill-conditioned model is a common problem in model predictive control. The model ill-conditioned can lead to control performance declining obviously from steady-state model of process in this paper. The direction of output movement is relevant to whether the model is ill-conditioned by simulation and analysis. Model mismatch also leads to model ill-conditioned becoming more serious. The geometry tools and SVD in linear algebra are used to analyze the essential reason of ill-conditioned model, and an offline strategy is proposed which can solve the ill-conditioned model problem together with existing online strategies. Finally, the simulations are used to prove the conclusions which presented in this paper are correct.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17379
Collection信息服务与智能控制技术研究室
Corresponding AuthorPan H(潘昊)
Affiliation1.Shenyang Institute of Automation, Chinese Acedemy of Science, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
Recommended Citation
GB/T 7714
Pan H,Yu HB,Zou T,et al. Analysis and Correction of Ill-Conditioned Model in Multivariable Model Predictive Control[C]. Berlin:Springer Verlag,2015:619-631.
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