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

Author:

Huo Baoyu1,Ma Jian1,Du Mingjun1,Yin Lijian2

Affiliation:

1. School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China

2. The Second Construction Limited Company of China Construction Eighth Engineering Division, Jinan 250013, China

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.

Funder

National Natural Science Foundation of China

Young Taishan Scholars Program of Shandong Province of China

Youth Innovation Science and Technology Support Plan of Colleges in Shandong Province

Fundamental Research Funds for the Qilu University of Technology

Undergraduate University Teachers Visiting Research Funds for Shandong Province

Publisher

MDPI AG

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