[1]JI Xiukun,XIE Guangming,WEN Jiayan,et al.Bipartite consensus for multi-agent systems subject to time delays[J].CAAI Transactions on Intelligent Systems,2020,15(4):780-786.[doi:10.11992/tis.201908027]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
15
Number of periods:
2020 4
Page number:
780-786
Column:
吴文俊人工智能科学技术奖论坛
Public date:
2020-07-05
- Title:
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Bipartite consensus for multi-agent systems subject to time delays
- Author(s):
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JI Xiukun1; XIE Guangming1; 2; WEN Jiayan1; LUO Wenguang1
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1. School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China;
2. College of Engineering, Peking University, Beijing 100871, China
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- Keywords:
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multi-agent systems; undirected graph; bipartite consensus; fixed-time delays; time-varying delays; Nyquist criterion; linear matrix inequality; free matrix
- CLC:
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TP273
- DOI:
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10.11992/tis.201908027
- Abstract:
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The aim of this paper is to consider the practical constraint of interaction network associated with multi-agent systems (MASs) subject to communication delay, the bipartite consensus seeking is investigated for the first-order MASs with fixed time-delays and time-varying delays over an undirected signed graph, respectively. To solve the concerned problems, the corresponding algorithms oriented for fixed time-delays or time-varying counterpart are proposed. In other words, the consensus is achieved within each subgroup during evolution, in which the state of each subgroup will converge to the same modulus but different symbol. Sufficient condition of bipartite consensus for the interaction network of MASs suffered from fixed time-delays can be obtained by the use of the generalized Nyquist criterion; Furthermore, based on the tools of integral inequality and linear matrix inequality, the sufficient condition for the case of bipartite consensus for the interaction network of MASs with time-varying delays also can be derived through constructing a reasonable Lyapunov function with triple integral term. Numerical simulations are provided that demonstrate the effectiveness of our theoretical results.