Distributed Event-Based State Estimation for Networked Systems: An LMI Approach
In this paper, a dynamic system is controlled by multiple sensor-actuator agents, each of them commanding and observing parts of the system's input and output. The different agents sporadically exchange data with each other via a common bus network according to local event-triggering protocols....
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on automatic control 2018-01, Vol.63 (1), p.269-276 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 276 |
|---|---|
| container_issue | 1 |
| container_start_page | 269 |
| container_title | IEEE transactions on automatic control |
| container_volume | 63 |
| creator | Muehlebach, Michael Trimpe, Sebastian |
| description | In this paper, a dynamic system is controlled by multiple sensor-actuator agents, each of them commanding and observing parts of the system's input and output. The different agents sporadically exchange data with each other via a common bus network according to local event-triggering protocols. From these data, each agent estimates the complete dynamic state of the system and uses its estimate for feedback control. We propose a synthesis procedure for designing the agents' state estimators and the event triggering thresholds. The resulting distributed and event-based control system is guaranteed to be stable and to satisfy a predefined estimation performance criterion. The approach is applied to the control of a vehicle platoon, where the method's tradeoff between performance and communication and the scalability in the number of agents are demonstrated. |
| doi_str_mv | 10.1109/TAC.2017.2726002 |
| format | Article |
| fullrecord | <record><control><sourceid>crossref_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TAC_2017_2726002</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7974794</ieee_id><sourcerecordid>10_1109_TAC_2017_2726002</sourcerecordid><originalsourceid>FETCH-LOGICAL-c305t-5b5d035b979f5cf3d2b0c3013dc7fa467df8dfa133c915ee0b5dc714f1d29eb33</originalsourceid><addsrcrecordid>eNo9kEtPwzAQhC0EEqVwR-LiP5Cya8dxzC2UApUKPVDOkeOHCI-msg2o_x5XrTjtrmZmNfoIuUSYIIK6XjXTCQOUEyZZBcCOyAiFqAsmGD8mIwCsC8Xq6pScxfiez6oscUSWd31Moe--k7N09uPWqbjVMe8vSSdHZzH1Xzr1w5r6IdBnl36H8LGTtzG5r3hDmzVdPM1ps9mEQZu3c3Li9Wd0F4c5Jq_3s9X0sVgsH-bTZlEYDiIVohMWuOiUVF4Yzy3rICvIrZFel5W0vrZeI-dGoXAOst9ILD1aplzH-ZjA_q8JQ4zB-XYTctOwbRHaHZA2A2l3QNoDkBy52kd659y_XSpZSlXyP4SgXJE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Distributed Event-Based State Estimation for Networked Systems: An LMI Approach</title><source>IEEE Electronic Library (IEL)</source><creator>Muehlebach, Michael ; Trimpe, Sebastian</creator><creatorcontrib>Muehlebach, Michael ; Trimpe, Sebastian</creatorcontrib><description>In this paper, a dynamic system is controlled by multiple sensor-actuator agents, each of them commanding and observing parts of the system's input and output. The different agents sporadically exchange data with each other via a common bus network according to local event-triggering protocols. From these data, each agent estimates the complete dynamic state of the system and uses its estimate for feedback control. We propose a synthesis procedure for designing the agents' state estimators and the event triggering thresholds. The resulting distributed and event-based control system is guaranteed to be stable and to satisfy a predefined estimation performance criterion. The approach is applied to the control of a vehicle platoon, where the method's tradeoff between performance and communication and the scalability in the number of agents are demonstrated.</description><identifier>ISSN: 0018-9286</identifier><identifier>EISSN: 1558-2523</identifier><identifier>DOI: 10.1109/TAC.2017.2726002</identifier><identifier>CODEN: IETAA9</identifier><language>eng</language><publisher>IEEE</publisher><subject>Control systems ; Estimation ; event-based state estimation ; Generators ; LMIs ; network analysis and control ; Observers ; Stability criteria ; switched systems</subject><ispartof>IEEE transactions on automatic control, 2018-01, Vol.63 (1), p.269-276</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c305t-5b5d035b979f5cf3d2b0c3013dc7fa467df8dfa133c915ee0b5dc714f1d29eb33</citedby><cites>FETCH-LOGICAL-c305t-5b5d035b979f5cf3d2b0c3013dc7fa467df8dfa133c915ee0b5dc714f1d29eb33</cites><orcidid>0000-0002-2785-2487 ; 0000-0002-7764-3069</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7974794$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7974794$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Muehlebach, Michael</creatorcontrib><creatorcontrib>Trimpe, Sebastian</creatorcontrib><title>Distributed Event-Based State Estimation for Networked Systems: An LMI Approach</title><title>IEEE transactions on automatic control</title><addtitle>TAC</addtitle><description>In this paper, a dynamic system is controlled by multiple sensor-actuator agents, each of them commanding and observing parts of the system's input and output. The different agents sporadically exchange data with each other via a common bus network according to local event-triggering protocols. From these data, each agent estimates the complete dynamic state of the system and uses its estimate for feedback control. We propose a synthesis procedure for designing the agents' state estimators and the event triggering thresholds. The resulting distributed and event-based control system is guaranteed to be stable and to satisfy a predefined estimation performance criterion. The approach is applied to the control of a vehicle platoon, where the method's tradeoff between performance and communication and the scalability in the number of agents are demonstrated.</description><subject>Control systems</subject><subject>Estimation</subject><subject>event-based state estimation</subject><subject>Generators</subject><subject>LMIs</subject><subject>network analysis and control</subject><subject>Observers</subject><subject>Stability criteria</subject><subject>switched systems</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtPwzAQhC0EEqVwR-LiP5Cya8dxzC2UApUKPVDOkeOHCI-msg2o_x5XrTjtrmZmNfoIuUSYIIK6XjXTCQOUEyZZBcCOyAiFqAsmGD8mIwCsC8Xq6pScxfiez6oscUSWd31Moe--k7N09uPWqbjVMe8vSSdHZzH1Xzr1w5r6IdBnl36H8LGTtzG5r3hDmzVdPM1ps9mEQZu3c3Li9Wd0F4c5Jq_3s9X0sVgsH-bTZlEYDiIVohMWuOiUVF4Yzy3rICvIrZFel5W0vrZeI-dGoXAOst9ILD1aplzH-ZjA_q8JQ4zB-XYTctOwbRHaHZA2A2l3QNoDkBy52kd659y_XSpZSlXyP4SgXJE</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Muehlebach, Michael</creator><creator>Trimpe, Sebastian</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-2785-2487</orcidid><orcidid>https://orcid.org/0000-0002-7764-3069</orcidid></search><sort><creationdate>201801</creationdate><title>Distributed Event-Based State Estimation for Networked Systems: An LMI Approach</title><author>Muehlebach, Michael ; Trimpe, Sebastian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-5b5d035b979f5cf3d2b0c3013dc7fa467df8dfa133c915ee0b5dc714f1d29eb33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Control systems</topic><topic>Estimation</topic><topic>event-based state estimation</topic><topic>Generators</topic><topic>LMIs</topic><topic>network analysis and control</topic><topic>Observers</topic><topic>Stability criteria</topic><topic>switched systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Muehlebach, Michael</creatorcontrib><creatorcontrib>Trimpe, Sebastian</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE transactions on automatic control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Muehlebach, Michael</au><au>Trimpe, Sebastian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributed Event-Based State Estimation for Networked Systems: An LMI Approach</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><date>2018-01</date><risdate>2018</risdate><volume>63</volume><issue>1</issue><spage>269</spage><epage>276</epage><pages>269-276</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>In this paper, a dynamic system is controlled by multiple sensor-actuator agents, each of them commanding and observing parts of the system's input and output. The different agents sporadically exchange data with each other via a common bus network according to local event-triggering protocols. From these data, each agent estimates the complete dynamic state of the system and uses its estimate for feedback control. We propose a synthesis procedure for designing the agents' state estimators and the event triggering thresholds. The resulting distributed and event-based control system is guaranteed to be stable and to satisfy a predefined estimation performance criterion. The approach is applied to the control of a vehicle platoon, where the method's tradeoff between performance and communication and the scalability in the number of agents are demonstrated.</abstract><pub>IEEE</pub><doi>10.1109/TAC.2017.2726002</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-2785-2487</orcidid><orcidid>https://orcid.org/0000-0002-7764-3069</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0018-9286 |
| ispartof | IEEE transactions on automatic control, 2018-01, Vol.63 (1), p.269-276 |
| issn | 0018-9286 1558-2523 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_TAC_2017_2726002 |
| source | IEEE Electronic Library (IEL) |
| subjects | Control systems Estimation event-based state estimation Generators LMIs network analysis and control Observers Stability criteria switched systems |
| title | Distributed Event-Based State Estimation for Networked Systems: An LMI Approach |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T00%3A43%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Distributed%20Event-Based%20State%20Estimation%20for%20Networked%20Systems:%20An%20LMI%20Approach&rft.jtitle=IEEE%20transactions%20on%20automatic%20control&rft.au=Muehlebach,%20Michael&rft.date=2018-01&rft.volume=63&rft.issue=1&rft.spage=269&rft.epage=276&rft.pages=269-276&rft.issn=0018-9286&rft.eissn=1558-2523&rft.coden=IETAA9&rft_id=info:doi/10.1109/TAC.2017.2726002&rft_dat=%3Ccrossref_RIE%3E10_1109_TAC_2017_2726002%3C/crossref_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=7974794&rfr_iscdi=true |