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A novel robust predictive control system over imperfect networks
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Dinh, Quang Truong, Ahn, Kyoung Kwan and Marco, James (2016) A novel robust predictive control system over imperfect networks. IEEE Transactions on Industrial Electronics, 64 (2). 1751 -1761. doi:10.1109/TIE.2016.2580124 ISSN 0278-0046.
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Official URL: http://dx.doi.org/10.1109/TIE.2016.2580124
Abstract
This paper aims to study on feedback control for a networked system with both uncertain delays, packet dropouts and disturbances. Here, a so-called robust predictive control (RPC) approach is designed as follows: 1- delays and packet dropouts are accurately detected online by a network problem detector (NPD); 2- a so-called PI-based neural network grey model (PINNGM) is developed in a general form for a capable of forecasting accurately in advance the network problems and the effects of disturbances on the system performance; 3- using the PINNGM outputs, a small adaptive buffer (SAB) is optimally generated on the remote side to deal with the large delays and/or packet dropouts and, therefore, simplify the control design; 4- based on the PINNGM and SAB, an adaptive sampling-based integral state feedback controller (ASISFC) is simply constructed to compensate the small delays and disturbances. Thus, the steady-state control performance is achieved with fast response, high adaptability and robustness. Case studies are finally provided to evaluate the effectiveness of the proposed approach.
Item Type: | Journal Article | ||||||||
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Subjects: | T Technology > TJ Mechanical engineering and machinery | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Library of Congress Subject Headings (LCSH): | Feedback control systems | ||||||||
Journal or Publication Title: | IEEE Transactions on Industrial Electronics | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 0278-0046 | ||||||||
Official Date: | 13 June 2016 | ||||||||
Dates: |
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Volume: | 64 | ||||||||
Number: | 2 | ||||||||
Page Range: | 1751 -1761 | ||||||||
DOI: | 10.1109/TIE.2016.2580124 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 7 September 2016 | ||||||||
Date of first compliant Open Access: | 7 September 2016 | ||||||||
Funder: | Ulsan Taehakkyo (Korea) |
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