Predictive Control of Networked Multiagent Systems via Cloud Computing
This paper studies the design and analysis of networked multiagent predictive control systems via cloud computing. A cloud predictive control scheme for networked multiagent systems (NMASs) is proposed to achieve consensus and stability simultaneously and to compensate for network delays actively. T...
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Veröffentlicht in: | IEEE transactions on cybernetics 2017-08, Vol.47 (8), p.1852-1859 |
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description | This paper studies the design and analysis of networked multiagent predictive control systems via cloud computing. A cloud predictive control scheme for networked multiagent systems (NMASs) is proposed to achieve consensus and stability simultaneously and to compensate for network delays actively. The design of the cloud predictive controller for NMASs is detailed. The analysis of the cloud predictive control scheme gives the necessary and sufficient conditions of stability and consensus of closed-loop networked multiagent control systems. The proposed scheme is verified to characterize the dynamical behavior and control performance of NMASs through simulations. The outcome provides a foundation for the development of cooperative and coordinative control of NMASs and its applications. |
doi_str_mv | 10.1109/TCYB.2017.2647820 |
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A cloud predictive control scheme for networked multiagent systems (NMASs) is proposed to achieve consensus and stability simultaneously and to compensate for network delays actively. The design of the cloud predictive controller for NMASs is detailed. The analysis of the cloud predictive control scheme gives the necessary and sufficient conditions of stability and consensus of closed-loop networked multiagent control systems. The proposed scheme is verified to characterize the dynamical behavior and control performance of NMASs through simulations. The outcome provides a foundation for the development of cooperative and coordinative control of NMASs and its applications.</description><identifier>ISSN: 2168-2267</identifier><identifier>EISSN: 2168-2275</identifier><identifier>DOI: 10.1109/TCYB.2017.2647820</identifier><identifier>PMID: 28103567</identifier><identifier>CODEN: ITCEB8</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Cloud computing ; Cloud predictive control ; Computer simulation ; consensus and stability ; Control stability ; Control systems ; Delays ; Design analysis ; Multiagent systems ; multiagent systems (MASs) ; Network topology ; networked control systems ; Predictive control ; Stability analysis ; Topology</subject><ispartof>IEEE transactions on cybernetics, 2017-08, Vol.47 (8), p.1852-1859</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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A cloud predictive control scheme for networked multiagent systems (NMASs) is proposed to achieve consensus and stability simultaneously and to compensate for network delays actively. The design of the cloud predictive controller for NMASs is detailed. The analysis of the cloud predictive control scheme gives the necessary and sufficient conditions of stability and consensus of closed-loop networked multiagent control systems. The proposed scheme is verified to characterize the dynamical behavior and control performance of NMASs through simulations. The outcome provides a foundation for the development of cooperative and coordinative control of NMASs and its applications.</description><subject>Cloud computing</subject><subject>Cloud predictive control</subject><subject>Computer simulation</subject><subject>consensus and stability</subject><subject>Control stability</subject><subject>Control systems</subject><subject>Delays</subject><subject>Design analysis</subject><subject>Multiagent systems</subject><subject>multiagent systems (MASs)</subject><subject>Network topology</subject><subject>networked control systems</subject><subject>Predictive control</subject><subject>Stability analysis</subject><subject>Topology</subject><issn>2168-2267</issn><issn>2168-2275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1LwzAYgIMoOqY_QAQpePGymTdtk_SoxS-YH6AePIV-vJFq28wknezfm7G5g7kkJM_zEh5CjoFOAWh28Zq_X00ZBTFlPBGS0R0yYsDlhDGR7m7PXByQI-c-aVgyXGVynxwwCTROuRiRm2eLdVP5ZoFRbnpvTRsZHT2i_zH2C-voYWh9U3xg76OXpfPYuWjRFFHemqEORjcffNN_HJI9XbQOjzb7mLzdXL_md5PZ0-19fjmbVHGS-QnyAqDMmK6kTmLOS8ozrdMERCVKXgrOMxRFyQQFTLSukxQTzmQQuORVXcRjcr6eO7fme0DnVde4Ctu26NEMToHkkEpIBQT07B_6aQbbh98pyBhNuJBSBArWVGWNcxa1mtumK-xSAVWrzmrVWa06q03n4JxuJg9lh_XW-KsagJM10CDi9jm4LJM0_gVAmYAa</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Liu, Guo-Ping</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0699-2296</orcidid></search><sort><creationdate>20170801</creationdate><title>Predictive Control of Networked Multiagent Systems via Cloud Computing</title><author>Liu, Guo-Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-e6a11b92fc8f4366b069ff5417c7b6b7669e7ab2701e4ffd45e462892f686cda3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Cloud computing</topic><topic>Cloud predictive control</topic><topic>Computer simulation</topic><topic>consensus and stability</topic><topic>Control stability</topic><topic>Control systems</topic><topic>Delays</topic><topic>Design analysis</topic><topic>Multiagent systems</topic><topic>multiagent systems (MASs)</topic><topic>Network topology</topic><topic>networked control systems</topic><topic>Predictive control</topic><topic>Stability analysis</topic><topic>Topology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Guo-Ping</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>PubMed</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>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace 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>MEDLINE - Academic</collection><jtitle>IEEE transactions on cybernetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu, Guo-Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive Control of Networked Multiagent Systems via Cloud Computing</atitle><jtitle>IEEE transactions on cybernetics</jtitle><stitle>TCYB</stitle><addtitle>IEEE Trans Cybern</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>47</volume><issue>8</issue><spage>1852</spage><epage>1859</epage><pages>1852-1859</pages><issn>2168-2267</issn><eissn>2168-2275</eissn><coden>ITCEB8</coden><abstract>This paper studies the design and analysis of networked multiagent predictive control systems via cloud computing. A cloud predictive control scheme for networked multiagent systems (NMASs) is proposed to achieve consensus and stability simultaneously and to compensate for network delays actively. The design of the cloud predictive controller for NMASs is detailed. The analysis of the cloud predictive control scheme gives the necessary and sufficient conditions of stability and consensus of closed-loop networked multiagent control systems. The proposed scheme is verified to characterize the dynamical behavior and control performance of NMASs through simulations. The outcome provides a foundation for the development of cooperative and coordinative control of NMASs and its applications.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>28103567</pmid><doi>10.1109/TCYB.2017.2647820</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-0699-2296</orcidid></addata></record> |
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subjects | Cloud computing Cloud predictive control Computer simulation consensus and stability Control stability Control systems Delays Design analysis Multiagent systems multiagent systems (MASs) Network topology networked control systems Predictive control Stability analysis Topology |
title | Predictive Control of Networked Multiagent Systems via Cloud Computing |
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