State synchronization in local-interaction networks is robust with respect to time delays
This is among the first results that suggest that multi-agent systems that interact through time-invariant, nearest-neighbor rules, can synchronize their states regardless of the size of communication delays. Network connectivity and consistency in the use of neighbor state information is all that i...
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| creator | Tanner, H.G. Christodoulakis, D.K. |
| description | This is among the first results that suggest that multi-agent systems that interact through time-invariant, nearest-neighbor rules, can synchronize their states regardless of the size of communication delays. Network connectivity and consistency in the use of neighbor state information is all that is needed. The analysis in this paper is performed in discrete time and is based on the properties of non-negative matrices. Due to the fact that the state transition matrix is no more ergodic, the results of [1] cannot be applied. A crucial observation regarding the delayed dynamics allows the reduction of the model and the establishment of ergodicity for the system's state transition matrix. |
| doi_str_mv | 10.1109/CDC.2005.1582945 |
| format | Conference Proceeding |
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A crucial observation regarding the delayed dynamics allows the reduction of the model and the establishment of ergodicity for the system's state transition matrix.</description><identifier>ISSN: 0191-2216</identifier><identifier>ISBN: 9780780395671</identifier><identifier>ISBN: 0780395670</identifier><identifier>DOI: 10.1109/CDC.2005.1582945</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biological system modeling ; Degradation ; Delay effects ; Intelligent networks ; Interconnected systems ; Mechanical engineering ; Multiagent systems ; Performance analysis ; Robust stability ; Robustness</subject><ispartof>Proceedings of the 44th IEEE Conference on Decision and Control, 2005, p.4945-4950</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1582945$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1582945$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tanner, H.G.</creatorcontrib><creatorcontrib>Christodoulakis, D.K.</creatorcontrib><title>State synchronization in local-interaction networks is robust with respect to time delays</title><title>Proceedings of the 44th IEEE Conference on Decision and Control</title><addtitle>CDC</addtitle><description>This is among the first results that suggest that multi-agent systems that interact through time-invariant, nearest-neighbor rules, can synchronize their states regardless of the size of communication delays. Network connectivity and consistency in the use of neighbor state information is all that is needed. The analysis in this paper is performed in discrete time and is based on the properties of non-negative matrices. Due to the fact that the state transition matrix is no more ergodic, the results of [1] cannot be applied. A crucial observation regarding the delayed dynamics allows the reduction of the model and the establishment of ergodicity for the system's state transition matrix.</description><subject>Biological system modeling</subject><subject>Degradation</subject><subject>Delay effects</subject><subject>Intelligent networks</subject><subject>Interconnected systems</subject><subject>Mechanical engineering</subject><subject>Multiagent systems</subject><subject>Performance analysis</subject><subject>Robust stability</subject><subject>Robustness</subject><issn>0191-2216</issn><isbn>9780780395671</isbn><isbn>0780395670</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE1LxDAURQMqOI6zF9zkD7TmJX1tupT6CQMu1IWrIU1fmGinHZLIUH-9RQcuXLiLw-EydgUiBxD1TXPX5FIIzAG1rAs8Yau60mKOqrGs4JQtBNSQSQnlObuI8VMIoUVZLtjHazKJeJwGuw3j4H9M8uPA_cD70Zo-80OiYOzfOFA6jOErch95GNvvmPjBpy0PFPdkE08jT35HvKPeTPGSnTnTR1ode8neH-7fmqds_fL43NyuMw8Vpgw7NysWRWtL1zmrW6lsB6UupLTgZn3XOmMVWlEhQqexVeSwRZS1ERpILdn1P9cT0WYf_M6EaXN8Qv0CVoFT2g</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Tanner, H.G.</creator><creator>Christodoulakis, D.K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>State synchronization in local-interaction networks is robust with respect to time delays</title><author>Tanner, H.G. ; Christodoulakis, D.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5df56744bc6fdfc8b23cd168422c1f956fbfac35c07551d85b3ef5b5529a081e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological system modeling</topic><topic>Degradation</topic><topic>Delay effects</topic><topic>Intelligent networks</topic><topic>Interconnected systems</topic><topic>Mechanical engineering</topic><topic>Multiagent systems</topic><topic>Performance analysis</topic><topic>Robust stability</topic><topic>Robustness</topic><toplevel>online_resources</toplevel><creatorcontrib>Tanner, H.G.</creatorcontrib><creatorcontrib>Christodoulakis, D.K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tanner, H.G.</au><au>Christodoulakis, D.K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>State synchronization in local-interaction networks is robust with respect to time delays</atitle><btitle>Proceedings of the 44th IEEE Conference on Decision and Control</btitle><stitle>CDC</stitle><date>2005</date><risdate>2005</risdate><spage>4945</spage><epage>4950</epage><pages>4945-4950</pages><issn>0191-2216</issn><isbn>9780780395671</isbn><isbn>0780395670</isbn><abstract>This is among the first results that suggest that multi-agent systems that interact through time-invariant, nearest-neighbor rules, can synchronize their states regardless of the size of communication delays. Network connectivity and consistency in the use of neighbor state information is all that is needed. The analysis in this paper is performed in discrete time and is based on the properties of non-negative matrices. Due to the fact that the state transition matrix is no more ergodic, the results of [1] cannot be applied. A crucial observation regarding the delayed dynamics allows the reduction of the model and the establishment of ergodicity for the system's state transition matrix.</abstract><pub>IEEE</pub><doi>10.1109/CDC.2005.1582945</doi><tpages>6</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biological system modeling Degradation Delay effects Intelligent networks Interconnected systems Mechanical engineering Multiagent systems Performance analysis Robust stability Robustness |
| title | State synchronization in local-interaction networks is robust with respect to time delays |
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