Adaptive leaderless consensus control of a class of strict-feedback nonlinear multi-agent systems with unknown control directions: A non-Nussbaum function based approach
This paper solves the leaderless consensus problem of a class of strict-feedback uncertain nonlinear multi-agent systems with unknown control directions and unknown system parameters. Without using the Nussbaum function approach, a novel control scheme is proposed by means of the switching mechanism...
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| Veröffentlicht in: | Journal of the Franklin Institute 2020-11, Vol.357 (17), p.12180-12196 |
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| container_issue | 17 |
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| container_title | Journal of the Franklin Institute |
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| creator | Ao, Wengang Huang, Jiangshuai Xue, Fangzheng |
| description | This paper solves the leaderless consensus problem of a class of strict-feedback uncertain nonlinear multi-agent systems with unknown control directions and unknown system parameters. Without using the Nussbaum function approach, a novel control scheme is proposed by means of the switching mechanism. The control algorithm guarantees that consensus errors converge to the origin asymptotically, and the amplitude of the control signals are much smaller compared with those using Nussbaum functions. The simulation results illustrate the effectiveness of the proposed algorithm. |
| doi_str_mv | 10.1016/j.jfranklin.2020.08.044 |
| format | Article |
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Without using the Nussbaum function approach, a novel control scheme is proposed by means of the switching mechanism. The control algorithm guarantees that consensus errors converge to the origin asymptotically, and the amplitude of the control signals are much smaller compared with those using Nussbaum functions. The simulation results illustrate the effectiveness of the proposed algorithm.</description><identifier>ISSN: 0016-0032</identifier><identifier>EISSN: 1879-2693</identifier><identifier>EISSN: 0016-0032</identifier><identifier>DOI: 10.1016/j.jfranklin.2020.08.044</identifier><language>eng</language><publisher>Elmsford: Elsevier Ltd</publisher><subject>Adaptive control ; Algorithms ; Control theory ; Feedback ; Feedback control systems ; Multiagent systems ; Nonlinear systems ; Parameter uncertainty ; Simulation ; Switching</subject><ispartof>Journal of the Franklin Institute, 2020-11, Vol.357 (17), p.12180-12196</ispartof><rights>2020 The Franklin Institute</rights><rights>Copyright Elsevier Science Ltd. 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Without using the Nussbaum function approach, a novel control scheme is proposed by means of the switching mechanism. The control algorithm guarantees that consensus errors converge to the origin asymptotically, and the amplitude of the control signals are much smaller compared with those using Nussbaum functions. The simulation results illustrate the effectiveness of the proposed algorithm.</description><subject>Adaptive control</subject><subject>Algorithms</subject><subject>Control theory</subject><subject>Feedback</subject><subject>Feedback control systems</subject><subject>Multiagent systems</subject><subject>Nonlinear systems</subject><subject>Parameter uncertainty</subject><subject>Simulation</subject><subject>Switching</subject><issn>0016-0032</issn><issn>1879-2693</issn><issn>0016-0032</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFUctu2zAQJIoWqJv0G0KgZ6l8iZR6M4K-gKC9tGdiTa0SyjLpklSCfFL_MnRc5NrT7mJmZ7A7hFxx1nLG9ce5nacEYb_40AomWMv6lin1imx4b4ZG6EG-JhtWqQ1jUrwl73Ke62g4YxvydzvCsfh7pAvCiGnBnKmLIWPI63NXUlxonChQt0AFa5tL8q40E-K4A7enIYbqjpDoYV2Kb-AWQ6H5MRc8ZPrgyx1dwz7Eh_AiOPqErvhq9IluTwLNjzXnHawHOq3hGaE7yDhSOB5TBHd3Sd5MsGR8_69ekN9fPv-6_tbc_Pz6_Xp70zipZGlGMN3glGZG9oNRCGrseme06rg04CYlBRrBuTCD1J3egdRKmUl2GrWW2MkL8uGsW23_rJiLneOaQrW0QpleC9YPJ5Y5s1yKOSec7DH5A6RHy5k95WJn-5KLPeViWW9rLnVze97EesS9x2Sz8xgcnl9ix-j_q_EE90meWg</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>Ao, Wengang</creator><creator>Huang, Jiangshuai</creator><creator>Xue, Fangzheng</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>202011</creationdate><title>Adaptive leaderless consensus control of a class of strict-feedback nonlinear multi-agent systems with unknown control directions: A non-Nussbaum function based approach</title><author>Ao, Wengang ; Huang, Jiangshuai ; Xue, Fangzheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-da759c460738974ea4d58c7645137acf432e72112793656ba36447f356e663e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptive control</topic><topic>Algorithms</topic><topic>Control theory</topic><topic>Feedback</topic><topic>Feedback control systems</topic><topic>Multiagent systems</topic><topic>Nonlinear systems</topic><topic>Parameter uncertainty</topic><topic>Simulation</topic><topic>Switching</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ao, Wengang</creatorcontrib><creatorcontrib>Huang, Jiangshuai</creatorcontrib><creatorcontrib>Xue, Fangzheng</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of the Franklin Institute</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ao, Wengang</au><au>Huang, Jiangshuai</au><au>Xue, Fangzheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive leaderless consensus control of a class of strict-feedback nonlinear multi-agent systems with unknown control directions: A non-Nussbaum function based approach</atitle><jtitle>Journal of the Franklin Institute</jtitle><date>2020-11</date><risdate>2020</risdate><volume>357</volume><issue>17</issue><spage>12180</spage><epage>12196</epage><pages>12180-12196</pages><issn>0016-0032</issn><eissn>1879-2693</eissn><eissn>0016-0032</eissn><abstract>This paper solves the leaderless consensus problem of a class of strict-feedback uncertain nonlinear multi-agent systems with unknown control directions and unknown system parameters. Without using the Nussbaum function approach, a novel control scheme is proposed by means of the switching mechanism. The control algorithm guarantees that consensus errors converge to the origin asymptotically, and the amplitude of the control signals are much smaller compared with those using Nussbaum functions. The simulation results illustrate the effectiveness of the proposed algorithm.</abstract><cop>Elmsford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.jfranklin.2020.08.044</doi><tpages>17</tpages></addata></record> |
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| ispartof | Journal of the Franklin Institute, 2020-11, Vol.357 (17), p.12180-12196 |
| issn | 0016-0032 1879-2693 0016-0032 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Adaptive control Algorithms Control theory Feedback Feedback control systems Multiagent systems Nonlinear systems Parameter uncertainty Simulation Switching |
| title | Adaptive leaderless consensus control of a class of strict-feedback nonlinear multi-agent systems with unknown control directions: A non-Nussbaum function based approach |
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