Finite time asymmetric bipartite consensus for multi-agent systems based on iterative learning control

被引:19
作者
Liang, Jiaqi [1 ]
Bu, Xuhui [1 ]
Cui, Lizhi [1 ]
Hou, Zhongsheng [2 ]
机构
[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo 454000, Henan, Peoples R China
[2] Qingdao Univ, Sch Automat, Qingdao, Peoples R China
基金
中国国家自然科学基金;
关键词
bipartite consensus; finite time; iterative learning control; nonlinear multi‐ agent systems; signed digraph; COOPERATIVE CONTROL; NETWORKS; TRACKING;
D O I
10.1002/rnc.5568
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the finite-time asymmetric bipartite consensus problem of multi-agent systems with signed digraph is considered. Firstly, an asymmetric index is introduced to describe a desired output relationship of the agents in terms of quantity. Based on the information of the agent's communication and the index, a novel iterative learning control protocol is proposed. By establishing the input and output errors relationship of the agents along the iteration domain, a sufficient condition is derived and a defined leaderless tracking error is proved to be asymptotically convergence as iteration increases. The result shows that the proposed design can ensure the agents achieve the asymmetric bipartite consensus goal in the finite-time. Moreover, the proposed design is also extended to deal with the problem of the multi-agent systems with heterogeneous dynamics. Finally, numerical simulation examples verify the effectiveness of the proposed protocol.
引用
收藏
页码:5708 / 5724
页数:17
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