On network-based leader-following consensus of linear multi-agent systems

Lei Ding; Wei Xing Zheng

doi:10.1109/ISCAS.2017.8050469

On network-based leader-following consensus of linear multi-agent systems

Lei Ding, Wei Xing Zheng

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

In this paper, the problem of network-based leader-following consensus is addressed for linear multi-agent systems with input saturation. First, a network-based consensus protocol with input saturation constraints is introduced to accommodate some network-induced effects such as delay, data quantization and time-varying sampling interval. Next, the Lyapunov-Krasovskii method is utilized to show the exponential convergence of the leader-following error system to a bounded set region under a delay-dependent stability condition, together with estimation of the region of initial conditions. Then with leveraging this stability condition, the gain matrix of the network-based consensus controller is designed for linear multi-agent systems.

Original language	English
Title of host publication	Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), May 28-31, 2017, Baltimore, Maryland, USA
Publisher	IEEE
Pages	866-869
Number of pages	4
ISBN (Print)	9781467368520
DOIs	https://doi.org/10.1109/ISCAS.2017.8050469
Publication status	Published - 2017
Event	IEEE International Symposium on Circuits and Systems - Duration: 28 May 2017 → …

Publication series

Name
ISSN (Print)	0271-4310

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	28/05/17 → …

Keywords

Lyapunov functions
multiagent systems
stability

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10.1109/ISCAS.2017.8050469

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title = "On network-based leader-following consensus of linear multi-agent systems",

abstract = "In this paper, the problem of network-based leader-following consensus is addressed for linear multi-agent systems with input saturation. First, a network-based consensus protocol with input saturation constraints is introduced to accommodate some network-induced effects such as delay, data quantization and time-varying sampling interval. Next, the Lyapunov-Krasovskii method is utilized to show the exponential convergence of the leader-following error system to a bounded set region under a delay-dependent stability condition, together with estimation of the region of initial conditions. Then with leveraging this stability condition, the gain matrix of the network-based consensus controller is designed for linear multi-agent systems.",

keywords = "Lyapunov functions, multiagent systems, stability",

author = "Lei Ding and Zheng, {Wei Xing}",

year = "2017",

doi = "10.1109/ISCAS.2017.8050469",

language = "English",

isbn = "9781467368520",

publisher = "IEEE",

pages = "866--869",

booktitle = "Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), May 28-31, 2017, Baltimore, Maryland, USA",

note = "IEEE International Symposium on Circuits and Systems ; Conference date: 28-05-2017",

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TY - GEN

T1 - On network-based leader-following consensus of linear multi-agent systems

AU - Ding, Lei

AU - Zheng, Wei Xing

PY - 2017

Y1 - 2017

N2 - In this paper, the problem of network-based leader-following consensus is addressed for linear multi-agent systems with input saturation. First, a network-based consensus protocol with input saturation constraints is introduced to accommodate some network-induced effects such as delay, data quantization and time-varying sampling interval. Next, the Lyapunov-Krasovskii method is utilized to show the exponential convergence of the leader-following error system to a bounded set region under a delay-dependent stability condition, together with estimation of the region of initial conditions. Then with leveraging this stability condition, the gain matrix of the network-based consensus controller is designed for linear multi-agent systems.

AB - In this paper, the problem of network-based leader-following consensus is addressed for linear multi-agent systems with input saturation. First, a network-based consensus protocol with input saturation constraints is introduced to accommodate some network-induced effects such as delay, data quantization and time-varying sampling interval. Next, the Lyapunov-Krasovskii method is utilized to show the exponential convergence of the leader-following error system to a bounded set region under a delay-dependent stability condition, together with estimation of the region of initial conditions. Then with leveraging this stability condition, the gain matrix of the network-based consensus controller is designed for linear multi-agent systems.

KW - Lyapunov functions

KW - multiagent systems

KW - stability

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:44581

U2 - 10.1109/ISCAS.2017.8050469

DO - 10.1109/ISCAS.2017.8050469

M3 - Conference Paper

SN - 9781467368520

SP - 866

EP - 869

BT - Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), May 28-31, 2017, Baltimore, Maryland, USA

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 28 May 2017

ER -

On network-based leader-following consensus of linear multi-agent systems

Abstract

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Keywords

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