Distributed Dynamic Event-Triggered Communication Mechanisms for Dynamic Average Consensus

被引:2
作者
Qian, Yangyang [1 ]
Xie, Yijing [2 ]
Lin, Zongli [1 ]
Wan, Yan [2 ]
Shamash, Yacov A. [3 ]
机构
[1] Univ Virginia, Charles L Brown Dept Elect & Comp Engn, Charlottesville, VA 22904 USA
[2] Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76019 USA
[3] SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA
来源
2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC | 2023年
关键词
Distributed algorithms; dynamic average consensus; event-triggered communication; multi-agent systems; ENERGY-STORAGE SYSTEMS;
D O I
10.1109/CDC49753.2023.10384293
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the dynamic average consensus problem of multi-agent systems under event-triggered communication. In this problem, each agent has access to a time-varying reference signal and aims to track the average of all reference signals. Distributed algorithms with event-triggered communication have been developed to achieve dynamic average consensus. Nevertheless, these existing event-triggered communication mechanisms cannot guarantee the existence of a designable positive minimum inter-event time (MIET), which is important in their practical implementation. Motivated by this observation, we propose a distributed dynamic event-triggered communication mechanism (ETCM) for each agent. It is shown that the proposed ETCM guarantees the existence of a positive MIET that is locally adjustable by tuning design parameters. It is also shown that the dynamic average consensus is achieved with any pre-specified level of accuracy. As an illustrative example, the theoretical results are applied to a networked battery energy storage system for state-of-charge balancing and desired total power tracking.
引用
收藏
页码:3890 / 3895
页数:6
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