Saturated Sampled-Data Distributed Control for Interval Consensus of Multi-Agent Systems

Yao Zou, Zongyu Zuo*, Kewei Xia, Michael V. Basin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This article studies the interval consensus of multi-agent systems using sampled data. Specifically, all the agents come to a consensus inside a given interval, which is only available to a portion of agents. The network is characterized by a strongly connected directed topology. By considering generic saturations with heterogeneity and asymmetry, two sampled-data distributed control protocols are proposed, which allow asynchronous sampling such that a global clock synchronization mechanism is not required. To be specific, with the delivery of the interval projection information, a saturated sampled-data distributed control protocol is first proposed. Accompanied by it, a selection criterion for sampling periods is built to achieve the interval consensus. Next, by narrowing down possible input options to three, another sampled-data distributed control protocol with ternary input options is proposed. A proper excitation mechanism is designed such that the interval consensus objective is achieved without strict requirements on the sampling periods. Simulation examples are taken to verify the established theoretical results.

Original languageEnglish
Pages (from-to)1024-1036
Number of pages13
JournalIEEE Transactions on Signal and Information Processing over Networks
Volume8
DOIs
Publication statusPublished - 2022

Keywords

  • Distributed control
  • interval consensus
  • multi-agent system
  • sampled-data control
  • saturation

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