Regulated State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Delays: A Scale-Free Protocol Design

Zhenwei Liu; Donya Nojavanzadeh; Dmitri Saberi; Ali Saberi; Anton A. Stoorvogel

doi:10.1109/CCDC49329.2020.9164717

Regulated State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Delays: A Scale-Free Protocol Design

Zhenwei Liu, Donya Nojavanzadeh, Dmitri Saberi, Ali Saberi, Anton A. Stoorvogel

Hybrid Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This paper studies regulated state synchronization of homogeneous networks of non-introspective agents in presence of unknown nonuniform input delays. A scale free protocol is designed based on additional information exchange, which does not need any knowledge of the directed network topology and the spectrum of the associated Laplacian matrix. The proposed protocol is scalable and achieves state synchronization for any arbitrary number of agents. Meanwhile, an upper bound for the input delay tolerance is obtained, which explicitly depends on the agent dynamics.

Original language	English
Title of host publication	2020 Chinese Control And Decision Conference (CCDC)
Publisher	IEEE
Pages	856-861
Number of pages	6
ISBN (Electronic)	9781728158549
DOIs	https://doi.org/10.1109/CCDC49329.2020.9164717
Publication status	Published - 11 Aug 2020
Event	32nd Chinese Control and Decision Conference, CCDC 2020 - Online Conference, Hefei, China Duration: 22 Aug 2020 → 24 Aug 2020 Conference number: 32

Conference

Conference	32nd Chinese Control and Decision Conference, CCDC 2020
Abbreviated title	CCDC 2020
Country	China
City	Hefei
Period	22/08/20 → 24/08/20

Keywords

Input delays
Multi-agent systems
Regulated state synchronization

Access to Document

10.1109/CCDC49329.2020.9164717

Link to publication in Scopus

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title = "Regulated State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Delays: A Scale-Free Protocol Design",

abstract = "This paper studies regulated state synchronization of homogeneous networks of non-introspective agents in presence of unknown nonuniform input delays. A scale free protocol is designed based on additional information exchange, which does not need any knowledge of the directed network topology and the spectrum of the associated Laplacian matrix. The proposed protocol is scalable and achieves state synchronization for any arbitrary number of agents. Meanwhile, an upper bound for the input delay tolerance is obtained, which explicitly depends on the agent dynamics.",

keywords = "Input delays, Multi-agent systems, Regulated state synchronization",

author = "Zhenwei Liu and Donya Nojavanzadeh and Dmitri Saberi and Ali Saberi and Stoorvogel, {Anton A.}",

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language = "English",

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booktitle = "2020 Chinese Control And Decision Conference (CCDC)",

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Liu, Z, Nojavanzadeh, D, Saberi, D, Saberi, A & Stoorvogel, AA 2020, Regulated State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Delays: A Scale-Free Protocol Design. in 2020 Chinese Control And Decision Conference (CCDC)., 9164717, IEEE, pp. 856-861, 32nd Chinese Control and Decision Conference, CCDC 2020, Hefei, China, 22/08/20. https://doi.org/10.1109/CCDC49329.2020.9164717

Regulated State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Delays : A Scale-Free Protocol Design. / Liu, Zhenwei; Nojavanzadeh, Donya; Saberi, Dmitri; Saberi, Ali; Stoorvogel, Anton A.

2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. p. 856-861 9164717.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - This paper studies regulated state synchronization of homogeneous networks of non-introspective agents in presence of unknown nonuniform input delays. A scale free protocol is designed based on additional information exchange, which does not need any knowledge of the directed network topology and the spectrum of the associated Laplacian matrix. The proposed protocol is scalable and achieves state synchronization for any arbitrary number of agents. Meanwhile, an upper bound for the input delay tolerance is obtained, which explicitly depends on the agent dynamics.

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