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Consensus of data-sampled multi-agent systems with Markovian switching topologies.

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Title: Consensus of data-sampled multi-agent systems with Markovian switching topologies.
Authors: Zhao, Huanyu, Xu, Shengyuan, Yuan, Deming
Source: Asian Journal of Control; Sep2012, Vol. 14 Issue 5, p1366-1373, 8p
Subject Terms: MULTIAGENT systems, PROCESS control systems, AUTOMATIC control systems, MEAN square algorithms, MARKOVIAN jump linear systems, SYSTEMS theory, CONTROL theory (Engineering), SIMULATION methods & models
Abstract: This paper studies the consensus problem of data-sampled multi-agent systems with Markovian switching topologies. Two different consensus algorithms are considered. By a system transformation, the mean-square consensus problem of multi-agent systems is converted into the mean-square stability problem of Markov jump systems. Necessary and sufficient conditions of mean-square consensus are obtained. The cone complementary linearization algorithm is used to get the allowable control gain. Simulation examples are given to show the effectiveness of the results. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society [ABSTRACT FROM AUTHOR]
Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Consensus of data-sampled multi-agent systems with Markovian switching topologies.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Huanyu%22">Zhao, Huanyu</searchLink><br /><searchLink fieldCode="AR" term="%22Xu%2C+Shengyuan%22">Xu, Shengyuan</searchLink><br /><searchLink fieldCode="AR" term="%22Yuan%2C+Deming%22">Yuan, Deming</searchLink>
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  Data: Asian Journal of Control; Sep2012, Vol. 14 Issue 5, p1366-1373, 8p
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  Data: <searchLink fieldCode="DE" term="%22MULTIAGENT+systems%22">MULTIAGENT systems</searchLink><br /><searchLink fieldCode="DE" term="%22PROCESS+control+systems%22">PROCESS control systems</searchLink><br /><searchLink fieldCode="DE" term="%22AUTOMATIC+control+systems%22">AUTOMATIC control systems</searchLink><br /><searchLink fieldCode="DE" term="%22MEAN+square+algorithms%22">MEAN square algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22MARKOVIAN+jump+linear+systems%22">MARKOVIAN jump linear systems</searchLink><br /><searchLink fieldCode="DE" term="%22SYSTEMS+theory%22">SYSTEMS theory</searchLink><br /><searchLink fieldCode="DE" term="%22CONTROL+theory+%28Engineering%29%22">CONTROL theory (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22SIMULATION+methods+%26+models%22">SIMULATION methods & models</searchLink>
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  Data: This paper studies the consensus problem of data-sampled multi-agent systems with Markovian switching topologies. Two different consensus algorithms are considered. By a system transformation, the mean-square consensus problem of multi-agent systems is converted into the mean-square stability problem of Markov jump systems. Necessary and sufficient conditions of mean-square consensus are obtained. The cone complementary linearization algorithm is used to get the allowable control gain. Simulation examples are given to show the effectiveness of the results. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/asjc.444
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        Text: English
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        PageCount: 8
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    Subjects:
      – SubjectFull: MULTIAGENT systems
        Type: general
      – SubjectFull: PROCESS control systems
        Type: general
      – SubjectFull: AUTOMATIC control systems
        Type: general
      – SubjectFull: MEAN square algorithms
        Type: general
      – SubjectFull: MARKOVIAN jump linear systems
        Type: general
      – SubjectFull: SYSTEMS theory
        Type: general
      – SubjectFull: CONTROL theory (Engineering)
        Type: general
      – SubjectFull: SIMULATION methods & models
        Type: general
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      – TitleFull: Consensus of data-sampled multi-agent systems with Markovian switching topologies.
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            NameFull: Zhao, Huanyu
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            NameFull: Xu, Shengyuan
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            NameFull: Yuan, Deming
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            – D: 01
              M: 09
              Text: Sep2012
              Type: published
              Y: 2012
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              Value: 14
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