Scalable δ-Level Coherent State Synchronization of Multi-Agent Systems in the Presence of Bounded Disturbances

Fuente: arXiv
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Main Authors: Nojavanzadeh, Donya, Liu, Zhenwei, Saberi, Ali, Stoorvogel, Anton A.
Format: Preprint
Published: 2023
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author Nojavanzadeh, Donya
Liu, Zhenwei
Saberi, Ali
Stoorvogel, Anton A.
author_facet Nojavanzadeh, Donya
Liu, Zhenwei
Saberi, Ali
Stoorvogel, Anton A.
contents In this paper, we study scalable $δ-$level coherent state synchronization for multi-agent systems (MAS) where the agents are subject to bounded disturbances/noises. We propose a scale-free framework designed solely based on the knowledge of agent models and agnostic to the communication graph and the size of the network. We define the level of coherency for each agent as the norm of the weighted sum of the disagreement dynamics with its neighbors. The objective is to restrict the network's coherency level to $δ$ without a-priori information about the disturbance.
format Preprint
id arxiv_https___arxiv_org_abs_2308_11959
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Scalable δ-Level Coherent State Synchronization of Multi-Agent Systems in the Presence of Bounded Disturbances
Nojavanzadeh, Donya
Liu, Zhenwei
Saberi, Ali
Stoorvogel, Anton A.
Systems and Control
In this paper, we study scalable $δ-$level coherent state synchronization for multi-agent systems (MAS) where the agents are subject to bounded disturbances/noises. We propose a scale-free framework designed solely based on the knowledge of agent models and agnostic to the communication graph and the size of the network. We define the level of coherency for each agent as the norm of the weighted sum of the disagreement dynamics with its neighbors. The objective is to restrict the network's coherency level to $δ$ without a-priori information about the disturbance.
title Scalable δ-Level Coherent State Synchronization of Multi-Agent Systems in the Presence of Bounded Disturbances
topic Systems and Control
url https://arxiv.org/abs/2308.11959