Title Group consensus for multiple networked Euler-Lagrange systems with parametric uncertainties
Authors Hu Hongxiang
Zhang Zhe
Yu Li
Yu Wenwu
Xie Guangming
Affiliation Hangzhou Dianzi Univ, Dept Math, Hangzhou 310018, Peoples R China.
Zhejiang Univ Technol, Zhejiang Prov United Key Lab Embedded Syst, Dept Automat, Hangzhou 310023, Zhejiang, Peoples R China.
Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China.
RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, Australia.
King Abdulaziz Univ, Fac Engn, Jeddah 21589, Saudi Arabia.
Peking Univ, Ctr Syst & Control, State Key Lab Turbulence & Complex Syst, Coll Engn, Beijing 100871, Peoples R China.
Keywords Euler-Lagrange system
group consensus
multi-agent systems
switching topologies
COLLECTIVE CIRCULAR MOTION
MULTIAGENT SYSTEMS
COMPLEX NETWORKS
SWITCHING TOPOLOGIES
SYNCHRONIZATION
ALGORITHMS
AGENTS
DELAY
Issue Date 2014
Publisher journal of systems science complexity
Citation JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY.2014,27,(4),632-649.
Abstract In this paper, a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain parameters. In the group consensus problem, the agents asymptotically reach several different states rather than one consistent state. A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus problem. It is shown that the group consensus is reachable even when the system contains the uncertain parameters. Furthermore, the multi-group consensus is discussed as an extension of the couple-group consensus, and then the group consensus with switching topology is considered. Simulation results are finally provided to validate the effectiveness of the theoretical analysis.
URI http://hdl.handle.net/20.500.11897/210334
ISSN 1009-6124
DOI 10.1007/s11424-014-2149-2
Indexed SCI(E)
EI
中国科学引文数据库(CSCD)
Appears in Collections: 工学院
湍流与复杂系统国家重点实验室

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