Model-Based Distributed Asynchronous Sampling for Multiagent Consensus With Event-Detecting Delays and Network Delays

被引：1
作者：
Wang, Xiaoyu [1 ,2 ]
Xiao, Feng [1 ,2 ]
Wang, Aiping [3 ]
Liu, Kaien [4 ]
机构：
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[3] North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
[4] Qingdao Univ, Coll Math & Stat, Qingdao 266071, Peoples R China
来源：
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS | 2023年 / 10卷 / 03期
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
Asynchronous sampling; event-detecting delays; event-triggered control; multiagent systems; network delays; TRIGGERED CONTROL; SYSTEMS;
D O I：
10.1109/TCNS.2023.3237479
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, the practical average consensus problem of linear multiagent systems with model-based distributed asynchronous sampling is investigated. Both internal event-detecting delays and external network delays are allowed in systems. Data-sampling instants are generated asynchronously by local event-triggering conditions. Particularly, data-sampling instants and event-triggering instants of each agent are also asynchronous due to the existence of event-detecting delays. Prediction models are utilized in detecting events and updating control inputs. Artificial interpolation instants are introduced in each sampling interval to address theoretical challenges brought by internal and external delays. To deal with this kind of complex asynchronous setup with multiple time delays, based on the Barbalat's Lemma, a new procedure for deriving conditions for average consensus and a theoretical analysis approach are presented.
引用
收藏
页码：1124 / 1136
页数：13
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