Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints
Robust static output-feedback controllers are designed that achieve consensus in networks of heterogeneous agents modeled as nonlinear systems of relative degree two. Both ideal communication networks and networks with communication constraints are considered, e.g., with limited communication range...
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Veröffentlicht in: | IEEE transactions on automatic control 2011-01, Vol.56 (1), p.145-151 |
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creator | Münz, Ulrich Papachristodoulou, A Allgöwer, Frank |
description | Robust static output-feedback controllers are designed that achieve consensus in networks of heterogeneous agents modeled as nonlinear systems of relative degree two. Both ideal communication networks and networks with communication constraints are considered, e.g., with limited communication range or heterogeneous communication delays. All design conditions that are presented are scalable to large and heterogeneous networks because the controller parameters depend only on the dynamics of the corresponding agent and its neighbors, but not on other agents in the network. |
doi_str_mv | 10.1109/TAC.2010.2084150 |
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Both ideal communication networks and networks with communication constraints are considered, e.g., with limited communication range or heterogeneous communication delays. All design conditions that are presented are scalable to large and heterogeneous networks because the controller parameters depend only on the dynamics of the corresponding agent and its neighbors, but not on other agents in the network.</description><identifier>ISSN: 0018-9286</identifier><identifier>EISSN: 1558-2523</identifier><identifier>DOI: 10.1109/TAC.2010.2084150</identifier><identifier>CODEN: IETAA9</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Artificial intelligence ; Communication networks ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Consensus ; Control system analysis ; Control system synthesis ; Control systems ; Control theory. 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Both ideal communication networks and networks with communication constraints are considered, e.g., with limited communication range or heterogeneous communication delays. All design conditions that are presented are scalable to large and heterogeneous networks because the controller parameters depend only on the dynamics of the corresponding agent and its neighbors, but not on other agents in the network.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Communication networks</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Consensus</subject><subject>Control system analysis</subject><subject>Control system synthesis</subject><subject>Control systems</subject><subject>Control theory. Systems</subject><subject>Delay</subject><subject>Design engineering</subject><subject>Dynamical systems</subject><subject>Exact sciences and technology</subject><subject>Expert systems</subject><subject>Force</subject><subject>MIMO</subject><subject>Multiagent systems</subject><subject>Networks</subject><subject>Nonlinear dynamics</subject><subject>nonlinear relative degree two systems</subject><subject>proximity graphs</subject><subject>Robustness</subject><subject>Silicon</subject><subject>Software</subject><subject>Switches</subject><subject>time-delays</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkUFv1DAQhS0EEkvhjsQlQkKcUmzHduzjagstUgGpLOJoOclkcZXYxeNQ9d_jsKseOHlG8703Yz1CXjN6zhg1H_bb3TmnpeNUCybpE7JhUuqaS948JRtKma4N1-o5eYF4W1olBNuQ-5vYLZirXQwIARdcq5ziNEGqLgD9IVRjTNXXGCYfwKXqBiaX_R8o00MCqPb3sfqyTNnX2wOEXH1_wAwzVj99_lXM5nkJvi-KGP4tycn5kPEleTa6CeHV6T0jPz593O-u6utvl5932-u6byTPdTP0YAbtmHRd38rB8V5p4KNplBPG6U6I8hXXDGupO9kO7aiFYsp0rVGtbM7I-6PvXYq_F8BsZ489TJMLEBe0WjHZmFaIQr79j7yNSwrlOFscDVdc0ALRI9SniJhgtHfJzy49WEbtmoMtOdg1B3vKoUjenXwd9m4akwu9x0cdb3TR0fXSN0fOA8DjWEojjBHNX6JukcA</recordid><startdate>201101</startdate><enddate>201101</enddate><creator>Münz, Ulrich</creator><creator>Papachristodoulou, A</creator><creator>Allgöwer, Frank</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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User interface</topic><topic>Consensus</topic><topic>Control system analysis</topic><topic>Control system synthesis</topic><topic>Control systems</topic><topic>Control theory. Systems</topic><topic>Delay</topic><topic>Design engineering</topic><topic>Dynamical systems</topic><topic>Exact sciences and technology</topic><topic>Expert systems</topic><topic>Force</topic><topic>MIMO</topic><topic>Multiagent systems</topic><topic>Networks</topic><topic>Nonlinear dynamics</topic><topic>nonlinear relative degree two systems</topic><topic>proximity graphs</topic><topic>Robustness</topic><topic>Silicon</topic><topic>Software</topic><topic>Switches</topic><topic>time-delays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Münz, Ulrich</creatorcontrib><creatorcontrib>Papachristodoulou, A</creatorcontrib><creatorcontrib>Allgöwer, Frank</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>Münz, Ulrich</au><au>Papachristodoulou, A</au><au>Allgöwer, Frank</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><date>2011-01</date><risdate>2011</risdate><volume>56</volume><issue>1</issue><spage>145</spage><epage>151</epage><pages>145-151</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>Robust static output-feedback controllers are designed that achieve consensus in networks of heterogeneous agents modeled as nonlinear systems of relative degree two. 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subjects | Applied sciences Artificial intelligence Communication networks Computer science control theory systems Computer systems and distributed systems. User interface Consensus Control system analysis Control system synthesis Control systems Control theory. Systems Delay Design engineering Dynamical systems Exact sciences and technology Expert systems Force MIMO Multiagent systems Networks Nonlinear dynamics nonlinear relative degree two systems proximity graphs Robustness Silicon Software Switches time-delays |
title | Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints |
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