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

Baoyu Huo, Jian Ma, Mingjun Du () and Lijian Yin
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Baoyu Huo: School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Jian Ma: School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Mingjun Du: School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Lijian Yin: The Second Construction Limited Company of China Construction Eighth Engineering Division, Jinan 250013, China

Mathematics, 2024, vol. 12, issue 5, 1-10

Abstract: 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.

Keywords: multi-agent systems; distributed average tracking; sampled data (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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