Finite-Time Consensus with Asynchronous Sampling Measurement

Pingping Xie, Yuan Zhou, Yu Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a new approach is constructed based on asynchronous modifiers to solve the finite-time consensus problems with asynchronous sampling measurement. By using this approach, finite-time consensus of multi-agent systems is achieved under an asynchronous sampling sequence. Besides, the settling time can be designed accurately and arbitrarily. In order to achieve finite-time consensus with asynchronous sampling measurement, firstly, the sampling series for each agent in multi-agent systems is designed differently and independently, but can converge to the same time. Secondly, asynchronous modifiers are proposed to overcome asynchronous communication. Combining optimal control theory and non-negative matrix theory, the problems of finite-time consensus can be figured out under sample-data-based controllers with the designed asynchronous sampling series. Additionally, consensus of multi-agent systems is achieved by asynchronously sampling measurement rather than broadcasting their states.

Original languageEnglish
Title of host publicationProceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Guidance Technologies
EditorsGuo-Ping Jiang, Mengyi Wang, Zhang Ren
PublisherSpringer Science and Business Media Deutschland GmbH
Pages554-566
Number of pages13
ISBN (Print)9789819733392
DOIs
StatePublished - 2024
Event7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 - Nanjing, China
Duration: 24 Nov 202327 Nov 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1204 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023
Country/TerritoryChina
CityNanjing
Period24/11/2327/11/23

Keywords

  • asynchronous sampling
  • finite-time consensus
  • Multi-agent systems

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