This paper investigates adaptive flocking of multi-agent systems (MASs) with a virtual leader. All agents and the virtual leader share the same intrinsic nonlinear dynamics, which satisfies a locally Lipschitz condition and depends on both position and velocity information for the agent itself. Under the assumption that the initial network is connected, an approach to preserving the connectivity of the network is proposed. On the basis of the Lyapunov stability theory, an adaptive flocking control law is derived, for making the MASs track the virtual leader without collision. Finally, a numerical example is presented to illustrate the effectiveness of the theoretical results. (C) 2012 Elsevier Ltd. All rights reserved.
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Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R ChinaHuazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China
Su, Housheng
Chen, Guanrong
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City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R ChinaHuazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China
Chen, Guanrong
Wang, Xiaofan
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Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R ChinaHuazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China
Wang, Xiaofan
Lin, Zongli
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Univ Virginia, Charles L Brown Dept Elect & Comp Engn, Charlottesville, VA 22904 USAHuazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China
机构:
Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R ChinaHuazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China
Su, Housheng
Chen, Guanrong
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h-index: 0
机构:
City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R ChinaHuazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China
Chen, Guanrong
Wang, Xiaofan
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h-index: 0
机构:
Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R ChinaHuazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China
Wang, Xiaofan
Lin, Zongli
论文数: 0引用数: 0
h-index: 0
机构:
Univ Virginia, Charles L Brown Dept Elect & Comp Engn, Charlottesville, VA 22904 USAHuazhong Univ Sci & Technol, Dept Control Sci & Engn, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China