A necessary and sufficient stability criterion for networked predictive control systems
Stability of a networked predictive control system subject to network-induced delay and data dropout is investigated in this study. By modeling the closed-loop system as a switched system with an upper-triangular structure, a necessary and sufficient stability criterion is developed. From the criter...
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Published in | Science China. Technological sciences Vol. 59; no. 1; pp. 2 - 8 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Beijing
Science China Press
2016
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Subjects | |
Online Access | Get full text |
ISSN | 1674-7321 1869-1900 |
DOI | 10.1007/s11431-015-5973-2 |
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Abstract | Stability of a networked predictive control system subject to network-induced delay and data dropout is investigated in this study. By modeling the closed-loop system as a switched system with an upper-triangular structure, a necessary and sufficient stability criterion is developed. From the criterion, it also can be seen that separation principle holds for networked predictive control systems. A numerical example is provided to confirm the validity and effectiveness of the obtained results. |
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AbstractList | Stability of a networked predictive control system subject to network-induced delay and data dropout is investigated in this study. By modeling the closed-loop system as a switched system with an upper-triangular structure, a necessary and sufficient stability criterion is developed. From the criterion, it also can be seen that separation principle holds for networked predictive control systems. A numerical example is provided to confirm the validity and effectiveness of the obtained results. |
Author | SUN Jian CHEN Jie GAN MingGang |
AuthorAffiliation | School of Automation, Beijing Institute of Technology, Beijing 100081, China Key Laboratory oflntelligent Control and Decision of Complex System, Beijing Institute of Technology, Beijing 100081, China |
Author_xml | – sequence: 1 givenname: Jian surname: Sun fullname: Sun, Jian organization: School of Automation, Beijing Institute of Technology, Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology – sequence: 2 givenname: Jie surname: Chen fullname: Chen, Jie organization: School of Automation, Beijing Institute of Technology, Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology – sequence: 3 givenname: MingGang surname: Gan fullname: Gan, MingGang email: agan@bit.edu.cn organization: School of Automation, Beijing Institute of Technology, Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology |
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CitedBy_id | crossref_primary_10_1109_TSMC_2018_2825474 crossref_primary_10_1007_s11424_017_7030_7 crossref_primary_10_1080_23307706_2024_2338813 crossref_primary_10_1007_s11424_020_8122_3 crossref_primary_10_1007_s11704_016_6120_3 |
Cites_doi | 10.1109/TIE.2009.2038341 10.1007/s11431-014-5528-y 10.1049/ip-cta:20050178 10.1109/TSMCB.2005.861879 10.1109/TCST.2011.2159793 10.1007/11539117_36 10.1109/TSMCC.2006.886987 10.1016/j.automatica.2007.04.020 10.1109/TIE.2009.2035462 10.1109/TAC.2007.904284 10.1115/1.3152698 10.1109/TAC.2006.890320 10.1016/j.automatica.2004.12.011 10.1109/TII.2012.2219540 10.1109/TCST.2011.2160543 10.1080/00207720802085278 10.1109/TIE.2007.893073 10.1109/TAC.2008.2008319 10.1080/00207170500329182 10.1109/TAC.2004.841933 10.1109/37.898794 10.1109/TCST.2008.2010946 10.1080/00207170500533288 10.1049/iet-cta:20070015 10.1109/JPROC.2006.887288 10.1109/TAC.2009.2020638 10.1109/TCSII.2004.836043 10.1109/TCSII.2010.2048377 |
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Keywords | networked predictive control networked control system data dropout stability network-induced delay |
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Notes | networked control system networked predictive control stability network-induced delay data dropout Stability of a networked predictive control system subject to network-induced delay and data dropout is investigated in this study. By modeling the closed-loop system as a switched system with an upper-triangular structure, a necessary and sufficient stability criterion is developed. From the criterion, it also can be seen that separation principle holds for networked predictive control systems. A numerical example is provided to confirm the validity and effectiveness of the obtained results. 11-5845/TH |
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Title | A necessary and sufficient stability criterion for networked predictive control systems |
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