Robustness analysis of leader-follower consensus

被引:0
作者
Jinzhi Wang
Ying Tan
Iven Mareels
机构
[1] Peking University,State Key Laboratory for Turbulence and Complex System and Department of Mechanics and Aerospace Engineering, College of Engineering
[2] University of Melbourne,Department of Electrical and Electronic Engineering
来源
Journal of Systems Science and Complexity | 2009年 / 22卷
关键词
Communication errors; leader-follower consensus; robustness;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, robustness properties of the leader-follower consensus are considered. For simplicity of presentation, the attention is focused on a group of continuous-time first-order dynamic agents with a time-invariant communication topology in the presence of communication errors. In order to evaluate the robustness of leader-follower consensus, two robustness measures are proposed: the L2 gain of the error vector to the state of the network and the worst case L2 gain at a node. Although the L2 gain of the error vector to the state of the network is widely used in robust control design and analysis, the worst case L2 gain at a node is less conservative with respect to the number of nodes in the network. It is thus suggested that the worst case L2 gain at a node is used when the robustness of consensus is considered. Theoretical analysis and simulation results show that these two measures are sensitive to the communication topology. In general, the “optimal” communication topology that can achieve most robust performance with respect to either of the proposed robustness measures is difficult to characterize and/or obtain. When the in-degree of each follower is one, it is shown that both measures reach a minimum when the leader can communicate to each node in the network.
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页码:186 / 206
页数:20
相关论文
共 40 条
[1]  
Olfati-Saber R(2004)Consensus problems in networks of agents with swithching topology and time-delays IEEE Trans. Automatic Control 49 1520-1533
[2]  
Murray RM(2007)Consensus and cooperation in networked multi-agent systems Proceedings of the IEEE 95 215-233
[3]  
Olfati-Saber R(2004)Information flow and cooerative control of vehicle formation IEEE Trans. Automatic Control 49 1465-1474
[4]  
Fax JA(2003)Coordination of groups of mobile autonomous agents using nearest neighbor rules IEEE Trans. Automatic Control 48 988-1000
[5]  
Murray RM(2005)Stability of multiagent systems with time-dependent communication links IEEE Trans. Automatic Control 50 169-182
[6]  
Fax JA(2004)Local control strategies for groups of mobile autonomous agents IEEE Trans. Automatic Control 49 622-629
[7]  
Murray RM(2005)Consensus seeking in multi-agent systems under dynamically changing interaction topologies IEEE Trans. Automatic Control 50 635-661
[8]  
Jadbabaie A(2007)Distributed multi-vehicle coordinated control via local information exchange Int. J. Robust and Nonlinear Control 17 1002-1033
[9]  
Lin J(2006)The problem of coordination and consensus achievement in groups of autonomous mobile robots with limited communication Nonlinear Analysis 65 1094-1102
[10]  
Morse AS(2007)Decentralized adaptive scheduling using consensus variables Int. J. Robust and Nonlinear Control 17 921-940