Improved Stabilization Method for Lurie Networked Control Systems

The problem of stabilization of Lurie networked control systems (NCSs) is investigated in this paper. The network-induced delays in NCSs are assumed to be time-varying and bounded. By utilizing a reciprocally convex technique to consider the relationship between the network-induced delay and its var...

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Detalles Bibliográficos
Autores principales: Zeng, Hong-Bing, Ding, Lei, Xiao, Shen-Ping, Yu, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032754/
https://www.ncbi.nlm.nih.gov/pubmed/24892090
http://dx.doi.org/10.1155/2014/789398
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author Zeng, Hong-Bing
Ding, Lei
Xiao, Shen-Ping
Yu, Fei
author_facet Zeng, Hong-Bing
Ding, Lei
Xiao, Shen-Ping
Yu, Fei
author_sort Zeng, Hong-Bing
collection PubMed
description The problem of stabilization of Lurie networked control systems (NCSs) is investigated in this paper. The network-induced delays in NCSs are assumed to be time-varying and bounded. By utilizing a reciprocally convex technique to consider the relationship between the network-induced delay and its varying interval, a new absolute stability condition is derived in terms of linear matrix inequalities (LMIs). Based on the obtained condition, an improved cone complementary linearisation (CCL) iteration algorithm is presented to design a state feedback controller. The effectiveness of the proposed method is verified by a numerical example.
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spelling pubmed-40327542014-06-02 Improved Stabilization Method for Lurie Networked Control Systems Zeng, Hong-Bing Ding, Lei Xiao, Shen-Ping Yu, Fei ScientificWorldJournal Research Article The problem of stabilization of Lurie networked control systems (NCSs) is investigated in this paper. The network-induced delays in NCSs are assumed to be time-varying and bounded. By utilizing a reciprocally convex technique to consider the relationship between the network-induced delay and its varying interval, a new absolute stability condition is derived in terms of linear matrix inequalities (LMIs). Based on the obtained condition, an improved cone complementary linearisation (CCL) iteration algorithm is presented to design a state feedback controller. The effectiveness of the proposed method is verified by a numerical example. Hindawi Publishing Corporation 2014 2014-04-17 /pmc/articles/PMC4032754/ /pubmed/24892090 http://dx.doi.org/10.1155/2014/789398 Text en Copyright © 2014 Hong-Bing Zeng et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zeng, Hong-Bing
Ding, Lei
Xiao, Shen-Ping
Yu, Fei
Improved Stabilization Method for Lurie Networked Control Systems
title Improved Stabilization Method for Lurie Networked Control Systems
title_full Improved Stabilization Method for Lurie Networked Control Systems
title_fullStr Improved Stabilization Method for Lurie Networked Control Systems
title_full_unstemmed Improved Stabilization Method for Lurie Networked Control Systems
title_short Improved Stabilization Method for Lurie Networked Control Systems
title_sort improved stabilization method for lurie networked control systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032754/
https://www.ncbi.nlm.nih.gov/pubmed/24892090
http://dx.doi.org/10.1155/2014/789398
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AT xiaoshenping improvedstabilizationmethodforlurienetworkedcontrolsystems
AT yufei improvedstabilizationmethodforlurienetworkedcontrolsystems

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