Consensus Error Performance of Linear Multi-Agent Systems

Yanling Ding; Hui Peng; Jie Chen

doi:10.1109/CDC51059.2022.9992526

Consensus Error Performance of Linear Multi-Agent Systems

Yanling Ding
, Hui Peng
, Jie Chen

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

In this paper, we investigate the consensus problem of linear time-invariant systems with respect to stochastic noises and deterministic disturbances. We consider first-order dynamic agents interconnected by a directed communication graph with time delay, and we seek to determine the best achievable performance that measures the error in achieving consensus under the influence of noises and disturbances. Our results consist of analytical expressions of the minimal error achievable, measured under both H₂ and H_∞ criteria. The expressions show explicitly how agent and network dynamics may interact to cast fundamentally dispersion effects on the consensus among the agents. © 2022 IEEE.

Original language	English
Title of host publication	2022 IEEE 61st Conference on Decision and Control (CDC)
Publisher	IEEE
Pages	328-333
ISBN (Electronic)	978-1-6654-6761-2
ISBN (Print)	978-1-6654-6762-9
DOIs	https://doi.org/10.1109/CDC51059.2022.9992526
Publication status	Published - Dec 2022
Event	61st IEEE Conference on Decision and Control (CDC 2022) - Cancún, Mexico Duration: 6 Dec 2022 → 9 Dec 2022

Publication series

Name	IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	61st IEEE Conference on Decision and Control (CDC 2022)
Abbreviated title	CDC22
Place	Mexico
City	Cancún
Period	6/12/22 → 9/12/22

Funding

This research was supported in part by the National Natural Science Foundation of China under Grants 61906047 and 62121004, in part by the Hong Kong RGC under Project CityU 11260016, and in part by City University of Hong Kong under Project 9380054

Research Keywords

Multi-agent systems
consensus performance
delay networks
TRADEOFFS
NETWORKS

RGC Funding Information

RGC-funded

Access Output

10.1109/CDC51059.2022.9992526

Other Access Options

Check CityUHK Library

Permanent Link

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Cite this

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title = "Consensus Error Performance of Linear Multi-Agent Systems",

abstract = "In this paper, we investigate the consensus problem of linear time-invariant systems with respect to stochastic noises and deterministic disturbances. We consider first-order dynamic agents interconnected by a directed communication graph with time delay, and we seek to determine the best achievable performance that measures the error in achieving consensus under the influence of noises and disturbances. Our results consist of analytical expressions of the minimal error achievable, measured under both H2 and H∞ criteria. The expressions show explicitly how agent and network dynamics may interact to cast fundamentally dispersion effects on the consensus among the agents. {\textcopyright} 2022 IEEE.",

keywords = "Multi-agent systems, consensus performance, delay networks, TRADEOFFS, NETWORKS",

author = "Yanling Ding and Hui Peng and Jie Chen",

year = "2022",

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language = "English",

isbn = "978-1-6654-6762-9",

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Consensus Error Performance of Linear Multi-Agent Systems. / Ding, Yanling; Peng, Hui; Chen, Jie.
2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. p. 328-333 (IEEE Conference on Decision and Control).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Peng, Hui

AU - Chen, Jie

PY - 2022/12

Y1 - 2022/12

N2 - In this paper, we investigate the consensus problem of linear time-invariant systems with respect to stochastic noises and deterministic disturbances. We consider first-order dynamic agents interconnected by a directed communication graph with time delay, and we seek to determine the best achievable performance that measures the error in achieving consensus under the influence of noises and disturbances. Our results consist of analytical expressions of the minimal error achievable, measured under both H2 and H∞ criteria. The expressions show explicitly how agent and network dynamics may interact to cast fundamentally dispersion effects on the consensus among the agents. © 2022 IEEE.

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KW - consensus performance

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KW - NETWORKS

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PB - IEEE

T2 - 61st IEEE Conference on Decision and Control (CDC 2022)

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ER -

Consensus Error Performance of Linear Multi-Agent Systems

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

GRF: Bode Integrals and Power Gain Bounds for Disturbance Attenuation of MIMO Networked Control Systems

Cite this

Consensus Error Performance of Linear Multi-Agent Systems

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

GRF: Bode Integrals and Power Gain Bounds for Disturbance Attenuation of MIMO Networked Control Systems

Cite this