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Data-based predictive hybrid driven control for a class of imperfect networked systems
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Dinh, Quang Truong, Marco, James, Greenwood, David G., Ahn, Kyoung Kwan and Yoon, Yong Il (2018) Data-based predictive hybrid driven control for a class of imperfect networked systems. IEEE Transactions on Industrial Informatics, 14 (11). pp. 5187-5199. doi:10.1109/TII.2018.2799081 ISSN 1551-3203.
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WRAP-data-based-predictive-hybrid-driven-control-class-imperfect-networked-systems-Truong-2018.pdf - Accepted Version - Requires a PDF viewer. Download (1784Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TII.2018.2799081
Abstract
A data-based predictive hybrid driven control (DPHDC) approach is presented for a class of networked systems compromising both computation and communication delays, packet dropouts and disturbances. First, network problems are classified in a generic way which is used to design a network problem detector (NPD) capable of detecting online current delays and packet dropouts. Second, a single-variable first-order proportional-integral (PI) -based adaptive grey model (PIAGM(1,1)) is designed to predict future network problems and, to predict system disturbances. Third, a hybrid driven scheme integrated an optimal small buffer (OSB) is constructed to allow the system to operate without any interrupts due to large delays or packet dropouts. Furthermore, the OSB size is online optimized using adaptive grey fuzzy cognitive map technique. Forth, a prediction-based model-free adaptive controller (PMFAC) is developed to compensate for network problems. The DPHDC stability is theoretically proved while its effectiveness is demonstrated through a case study.
| Item Type: | Journal Article | |||||||||||||||||||||
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| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | |||||||||||||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||||||||||||||
| Library of Congress Subject Headings (LCSH): | Electric networks -- Control systems -- Mathematical models | |||||||||||||||||||||
| Journal or Publication Title: | IEEE Transactions on Industrial Informatics | |||||||||||||||||||||
| Publisher: | IEEE | |||||||||||||||||||||
| ISSN: | 1551-3203 | |||||||||||||||||||||
| Official Date: | November 2018 | |||||||||||||||||||||
| Dates: |
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| Volume: | 14 | |||||||||||||||||||||
| Number: | 11 | |||||||||||||||||||||
| Page Range: | pp. 5187-5199 | |||||||||||||||||||||
| DOI: | 10.1109/TII.2018.2799081 | |||||||||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||||||||
| Publication Status: | Published | |||||||||||||||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||||||||
| Date of first compliant deposit: | 30 January 2018 | |||||||||||||||||||||
| Date of first compliant Open Access: | 30 January 2018 | |||||||||||||||||||||
| RIOXX Funder/Project Grant: |
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