Regulated Output Synchronization of Heterogeneous Multi-Agent Systems with Desired Convergence Rate via Scale-Free Protocol Design

Zhenwei Liu, Ali Saberi, Antonie Arij Stoorvogel

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Abstract

This paper outlines scalable collaborative protocols for achieving regulated output synchronization in heterogeneous multi-agent systems (MAS) in presence of arbitrary desired convergence rates. The proposed protocol design is scale-free, i.e., only requires knowledge of the agents' models, without any networks information and the number of agents. With our protocols, only adjusting a single parameter allows output synchronization to be achieved at any convergence rates.
Original languageEnglish
Title of host publication2023 China Automation Congress (CAC)
PublisherIEEE
Pages1931 - 1936
Number of pages6
ISBN (Electronic)979-8-3503-0375-9
DOIs
Publication statusPublished - 19 Mar 2024
EventChina Automation Congress, CAC 2023
- Chongqing, China
Duration: 17 Nov 202319 Nov 2023

Conference

ConferenceChina Automation Congress, CAC 2023
Abbreviated titleCAC 2023
Country/TerritoryChina
CityChongqing
Period17/11/2319/11/23

Keywords

  • 2024 OA procedure
  • Protocols
  • Automation
  • Collaboration
  • Synchronization
  • Tuning
  • Convergence
  • Regulated output
  • synchronization
  • arbitrary desired convergence rate;
  • scale-free collaborative protocol design
  • heterogeneous multi-agent systems
  • Knowledge engineering

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