Consensus Based Overlapping Decentralized Estimator
In this technical note a new algorithm for state estimation is proposed in the form of a multi-agent network based on a synergy between local Kalman filters and a dynamic consensus strategy between the agents. It is shown that it is possible, under general conditions concerning local resources and t...
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| Veröffentlicht in: | IEEE transactions on automatic control 2009-02, Vol.54 (2), p.410-415 |
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| container_title | IEEE transactions on automatic control |
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| creator | Stankovic, S.S. Stankovic, M.S. Stipanovic, D.M. |
| description | In this technical note a new algorithm for state estimation is proposed in the form of a multi-agent network based on a synergy between local Kalman filters and a dynamic consensus strategy between the agents. It is shown that it is possible, under general conditions concerning local resources and the network topology, to achieve asymptotic stability of the whole estimation algorithm by a proper choice of the consensus gains. It is demonstrated that the consensus gains can be obtained by minimizing the total mean-square estimation error. Capabilities of the network to achieve reduction of the measurement noise influence are also discussed. |
| doi_str_mv | 10.1109/TAC.2008.2009583 |
| format | Article |
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It is shown that it is possible, under general conditions concerning local resources and the network topology, to achieve asymptotic stability of the whole estimation algorithm by a proper choice of the consensus gains. It is demonstrated that the consensus gains can be obtained by minimizing the total mean-square estimation error. Capabilities of the network to achieve reduction of the measurement noise influence are also discussed.</description><identifier>ISSN: 0018-9286</identifier><identifier>EISSN: 1558-2523</identifier><identifier>DOI: 10.1109/TAC.2008.2009583</identifier><identifier>CODEN: IETAA9</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; Asymptotic properties ; Asymptotic stability ; Computer science; control theory; systems ; Consensus strategy ; Control theory. 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It is shown that it is possible, under general conditions concerning local resources and the network topology, to achieve asymptotic stability of the whole estimation algorithm by a proper choice of the consensus gains. It is demonstrated that the consensus gains can be obtained by minimizing the total mean-square estimation error. Capabilities of the network to achieve reduction of the measurement noise influence are also discussed.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Asymptotic properties</subject><subject>Asymptotic stability</subject><subject>Computer science; control theory; systems</subject><subject>Consensus strategy</subject><subject>Control theory. Systems</subject><subject>decentralized estimation</subject><subject>Estimation error</subject><subject>Estimators</subject><subject>Exact sciences and technology</subject><subject>Gain</subject><subject>Intelligent agent</subject><subject>Modelling and identification</subject><subject>multi-agent systems</subject><subject>Multiagent systems</subject><subject>Network topology</subject><subject>Networks</subject><subject>Noise measurement</subject><subject>Noise reduction</subject><subject>optimization</subject><subject>overlapping decompositions</subject><subject>Sensor systems</subject><subject>Stability</subject><subject>Stability analysis</subject><subject>State estimation</subject><subject>Strategy</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkT1PwzAQhi0EEqWwI7FUSMCU4rMdf4wllA-pUpcyW47joFRpEuwUCX49jlp1YIDhfDrdc-_ZfhG6BDwFwOp-NcumBGM5HCqV9AiNIE1lQlJCj9EIY5CJIpKforMQ1rHkjMEI0axtgmvCNkweTHDFZPnpfG26rmreJ4_Ouqb3pq6-Y2ce-mpj-tafo5PS1MFd7PMYvT3NV9lLslg-v2azRWIZpH1SWJenyuaCUB4vVYAROaFMutRyCZwyQ4syRoolK4TJFRAueKk40FwVpaBjdLfT7Xz7sXWh15sqWFfXpnHtNmiFKQcuKP6XlGJYwimP5O2fJGUMY0xYBK9_get265v4Xi05EAXAZITwDrK-DcG7Unc-_pH_0oD1YIuOtujBFr23JY7c7HVNsKYuvWlsFQ5zBJgAoQbpqx1XOecObSYkwQToDwJykv4</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Stankovic, S.S.</creator><creator>Stankovic, M.S.</creator><creator>Stipanovic, D.M.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Systems</topic><topic>decentralized estimation</topic><topic>Estimation error</topic><topic>Estimators</topic><topic>Exact sciences and technology</topic><topic>Gain</topic><topic>Intelligent agent</topic><topic>Modelling and identification</topic><topic>multi-agent systems</topic><topic>Multiagent systems</topic><topic>Network topology</topic><topic>Networks</topic><topic>Noise measurement</topic><topic>Noise reduction</topic><topic>optimization</topic><topic>overlapping decompositions</topic><topic>Sensor systems</topic><topic>Stability</topic><topic>Stability analysis</topic><topic>State estimation</topic><topic>Strategy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stankovic, S.S.</creatorcontrib><creatorcontrib>Stankovic, M.S.</creatorcontrib><creatorcontrib>Stipanovic, D.M.</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>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on automatic control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Stankovic, S.S.</au><au>Stankovic, M.S.</au><au>Stipanovic, D.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Consensus Based Overlapping Decentralized Estimator</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><date>2009-02-01</date><risdate>2009</risdate><volume>54</volume><issue>2</issue><spage>410</spage><epage>415</epage><pages>410-415</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>In this technical note a new algorithm for state estimation is proposed in the form of a multi-agent network based on a synergy between local Kalman filters and a dynamic consensus strategy between the agents. 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| identifier | ISSN: 0018-9286 |
| ispartof | IEEE transactions on automatic control, 2009-02, Vol.54 (2), p.410-415 |
| issn | 0018-9286 1558-2523 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Applied sciences Asymptotic properties Asymptotic stability Computer science control theory systems Consensus strategy Control theory. Systems decentralized estimation Estimation error Estimators Exact sciences and technology Gain Intelligent agent Modelling and identification multi-agent systems Multiagent systems Network topology Networks Noise measurement Noise reduction optimization overlapping decompositions Sensor systems Stability Stability analysis State estimation Strategy |
| title | Consensus Based Overlapping Decentralized Estimator |
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