[1]WANG Xiaoxiao,JI Zhijian.Controllability of non-identical multi-agent systems under a broadcasting control signal[J].CAAI Transactions on Intelligent Systems,2014,9(4):401-406.[doi:10.3969/j.issn.1673-4785.201401011]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
9
Number of periods:
2014 4
Page number:
401-406
Column:
学术论文—智能系统
Public date:
2014-08-25
- Title:
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Controllability of non-identical multi-agent systems under a broadcasting control signal
- Author(s):
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WANG Xiaoxiao; JI Zhijian
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College of Automation Engineering, Qingdao University, Qingdao 266071, China
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- Keywords:
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multi-agent system; controllability; non-identical dynamics; neighbor-based rule; broadcasting control signal; graph theory; matrix theory; path; complete graph
- CLC:
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TP273
- DOI:
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10.3969/j.issn.1673-4785.201401011
- Abstract:
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Controllability is a key issue in the study of multi-agent systems, and the controllability of a multi-agent system with non-identical node dynamics which is closer to the actual engineering dynamic network is paramount. So as a result in this paper, the controllability of a multi-agent system is studied by using both the graph theory and the matrix theory, where agents interconnect via the neighbor-based rule and the undirected dynamical system consists of non-identical agents receiving a common exogenous control signal, which is called a broadcasting control signal. A necessary and sufficient condition is derived for a non-identical node dynamics system to be controllable. The controllability of the path and the complete graph is studied under the non-identical node dynamics. It is shown that the controllability of the path and the complete graph changes when the non-identical agents receive a broadcasting control signal. In particular, it is shown that the controllability of a multi-agent system is determined by the topology structure of the interconnection graph and the non-identical dynamics of the agents. Compared with the identical dynamics, the controllability of multi-agent systems exhibits new features and becomes more complicated when the dynamics of the agents is non-identical. Some methods for improving the controllability of a non-identical node dynamics system are also pointed out at the end of the paper.