Average Consensus Tracking of Weight-Balanced Multi-Agent Systems via Sampled Data

被引：1
|
作者：
Huo, Baoyu [1 ]
Ma, Jian [1 ]
Du, Mingjun [1 ]
Yin, Lijian [2 ]
机构：
[1] Qilu Univ Technol, Shandong Acad Sci, Sch Informat & Automat Engn, Jinan 250353, Peoples R China
[2] China Construct Eighth Engn Div, Construct Ltd Co 2, Jinan 250013, Peoples R China
来源：
MATHEMATICS | 2024年 / 12卷 / 05期
基金：
中国国家自然科学基金;
关键词：
multi-agent systems; distributed average tracking; sampled data; TIME; CONVERGENCE;
D O I：
10.3390/math12050674
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This paper studies the average consensus tracking problem of first-order multi-agent systems under directed topologies. A control protocol is constructed based on the neighbors' agent sampled information. With the help of the matrix theory and frequency domain analysis, the necessary and sufficient condition can be induced for the average consensus tracking of multi-agent systems, although the weight-balanced condition is not satisfied. In addition, a numerical simulation example is given to illustrate the effectiveness of the proposed results.
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页数：10
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