Title
Adaptive Consensus Of Two-Time-Scale Multi-Agent Systems
Abstract
This paper studies the distributed consensus problem of a new class of multi-agent systems, where each agent is represented by the two-time-scale system. Two fully distributed, epsilon-dependent adaptive consensus protocols are designed, namely, the relative states based adaptive protocol and the relative outputs based adaptive protocol. By using the merit of the proposed epsilon-Lyapunov function, some sufficient consensus criteria in terms of well-conditioned linear matrix inequalities are derived. The upper bound of epsilon is also determined. A numerical example for the drying section of a paper converting machine with nine rolls verifies the effectiveness of the proposed results.
Year
DOI
Venue
2021
10.1080/00207179.2019.1624829
INTERNATIONAL JOURNAL OF CONTROL
Keywords
DocType
Volume
Consensus, multi-agent systems, two-time-scale feature, fully distributed protocol, adaptive control strategy
Journal
94
Issue
ISSN
Citations 
4
0020-7179
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Li-Mei Wei110.36
Wu Yang210.69
Yan-Wu Wang3253.68
Yan-Wu Wang4253.68