Details of Research Outputs

TitleDrill-down diagnosis of deficient models in MPC
Author (Name in English or Pinyin)
Date Issued2015-09-25
Source PublicationIFAC-PapersOnLine
ISSN24058963
DOI10.1016/j.ifacol.2015.09.060
Indexed BySCOPUS
Funding Project国家自然科学基金项目
Firstlevel Discipline信息科学与系统科学
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 48 期: 8 页: 759-764
References
[1] Abhijit, S., Sirish, L., Shah, S. Patwardhan, R., Gudi, D. (2010). Quantifying the impact of model-plant mismatch on controller performance. Journal of Process Control, 20, 408-425
[2] Harris,T.J. (1989) .Assessment of control loop performance. The Canadian Journal of Chemical Engineering 67, 856-861.
[3] Harris, T. J., Boudreau, F., MacGregor, J. F. (1996). Performance assessment of multivariable feedback controllers. Automatica, 32,1505-1518.
[4] Harrison, C.A., Qin, S. J. (2009a). Minimum variance performance map for constrained model predictive control. Journal of Process Control, 19, 1199-1204
[5] Harrison, C. A., Qin, S. J. (2009b). Discriminating between disturbance and process model mismatch in model predictive control. Journal of Process Control, 19, 1610-1616
[6] Huang. B. (2002). Minimum variance control and performance assessment of time-variant processes. Journal of Process Control, 12, 707-719
[7] Ji, G., Zhang, K., Zhu, Y. (2012). A method of MPC model error detection. Journal of Process Control, 22, 635-642
[8] Ling, K. V., Ho, W. K., Feng, Y., Wu, B. (2011). Integral-square-error performance of multiplexed model predictive control. IEEE transactions on industrial informatics, 7,196-203
[9] Ljung, L. (1999). System Identification: Theory for the User. Prentice-Hall.
[10] Sun, Z., Qin, S. J. Singhal, A., Megan, L. (2013). Performance monitoring of model-predictive controllers via model residual assessment. Journal of Process Control, 23, 473-482
[11] Tian, X., Chen, G., Chen, S. (2011). A data-based approach for multivariate model predictive control performance monitoring. Neurocomputing, 74, 588-597.
[12] Thornhill, N.F., Horch, A. (2007). Advances and new directions in plant-wide disturbance detection and diagnosis. Control Engineering Practice, 15, 1196-1206.
[13] Wood, R.K., Berry,M.W. (1973). Terminal composition control of a binary distillation column. Chemical Engineering Science, 28, 1707-1717.
[14] Yu, J., Qin, S. J. (2009). MIMO control performance monitoring using left/right diagonal interactors. Journal of Process Control, 19, 1267-1276.
[15] Yu, H., Lakshminarayanan, S., Kariwala, V. (2009). Confirmation of control valve stiction in interacting systems. Canadian Journal of Chemical Engineering, 87, 632-636.
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/1161
CollectionSchool of Science and Engineering
Corresponding AuthorQin, S.J.
Affiliation
1.College of Automation and Electrical Engineering, Nanjing Tech University, Nanjing, 210009, China
2.Chinese University of Hong Kong, Shenzhen, 2001 Longxiang Blvd., Longgang, Shenzhen, Guangdong, Hong Kong
3.University of Southern California, Los Angeles, CA 90089, United States
Recommended Citation
GB/T 7714
Li, L.,Qin, S.J. Drill-down diagnosis of deficient models in MPC[J]. IFAC-PapersOnLine,2015.
APA Li, L., & Qin, S.J. (2015). Drill-down diagnosis of deficient models in MPC. IFAC-PapersOnLine.
MLA Li, L.,et al."Drill-down diagnosis of deficient models in MPC".IFAC-PapersOnLine (2015).
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Li, L.]'s Articles
[Qin, S.J.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, L.]'s Articles
[Qin, S.J.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, L.]'s Articles
[Qin, S.J.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.