An approach to quantized consensus of continuous-time linear multi-agent systems

Ji Ma; Haibo Ji; Dong Sun; Gang Feng

doi:10.1016/j.automatica.2018.01.028

An approach to quantized consensus of continuous-time linear multi-agent systems

Ji Ma, Haibo Ji, Dong Sun, Gang Feng^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

54 Citations (Scopus)

Abstract

This paper investigates the consensus problem of continuous-time linear multi-agent systems (MASs), under the communication constraint of limited bandwidth. By constructing a novel dynamic quantizer, a distributed protocol via sampled and quantized data is designed to solve this problem. It is shown that the required number of the quantization levels of the new quantizer remains to be small even if the number of the agents in the MAS is large. A simulation example is given to illustrate the effectiveness of the proposed consensus protocol.

Original language	English
Pages (from-to)	98-104
Journal	Automatica
Volume	91
Online published	20 Mar 2018
DOIs	https://doi.org/10.1016/j.automatica.2018.01.028
Publication status	Published - May 2018

Research Keywords

Consensus
ISS-Lyapunov functions
Quantization
Sampling

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title = "An approach to quantized consensus of continuous-time linear multi-agent systems",

abstract = "This paper investigates the consensus problem of continuous-time linear multi-agent systems (MASs), under the communication constraint of limited bandwidth. By constructing a novel dynamic quantizer, a distributed protocol via sampled and quantized data is designed to solve this problem. It is shown that the required number of the quantization levels of the new quantizer remains to be small even if the number of the agents in the MAS is large. A simulation example is given to illustrate the effectiveness of the proposed consensus protocol.",

keywords = "Consensus, ISS-Lyapunov functions, Quantization, Sampling",

author = "Ji Ma and Haibo Ji and Dong Sun and Gang Feng",

year = "2018",

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AU - Ma, Ji

AU - Ji, Haibo

AU - Sun, Dong

AU - Feng, Gang

PY - 2018/5

Y1 - 2018/5

N2 - This paper investigates the consensus problem of continuous-time linear multi-agent systems (MASs), under the communication constraint of limited bandwidth. By constructing a novel dynamic quantizer, a distributed protocol via sampled and quantized data is designed to solve this problem. It is shown that the required number of the quantization levels of the new quantizer remains to be small even if the number of the agents in the MAS is large. A simulation example is given to illustrate the effectiveness of the proposed consensus protocol.

AB - This paper investigates the consensus problem of continuous-time linear multi-agent systems (MASs), under the communication constraint of limited bandwidth. By constructing a novel dynamic quantizer, a distributed protocol via sampled and quantized data is designed to solve this problem. It is shown that the required number of the quantization levels of the new quantizer remains to be small even if the number of the agents in the MAS is large. A simulation example is given to illustrate the effectiveness of the proposed consensus protocol.

KW - Consensus

KW - ISS-Lyapunov functions

KW - Quantization

KW - Sampling

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85041503789&origin=recordpage

U2 - 10.1016/j.automatica.2018.01.028

DO - 10.1016/j.automatica.2018.01.028

M3 - RGC 21 - Publication in refereed journal

SN - 0005-1098

VL - 91

SP - 98

EP - 104

JO - Automatica

JF - Automatica

ER -

An approach to quantized consensus of continuous-time linear multi-agent systems

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CRF: Development of Cell Manipulation Tools for Probing Functional Mechanism of Hematopoietic Cells: Robotics, Optical tweezers, and Hematopoiesis

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An approach to quantized consensus of continuous-time linear multi-agent systems

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CRF: Development of Cell Manipulation Tools for Probing Functional Mechanism of Hematopoietic Cells: Robotics, Optical tweezers, and Hematopoiesis

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