Event-Triggered Control for Semiglobal Robust Consensus of a Class of Nonlinear Uncertain Multiagent Systems

Haofei Meng; Hai Tao Zhang; Zhen Wang; Guanrong Chen

doi:10.1109/TAC.2019.2932752

Event-Triggered Control for Semiglobal Robust Consensus of a Class of Nonlinear Uncertain Multiagent Systems

Haofei Meng
, Hai Tao Zhang
, Zhen Wang
, Guanrong Chen

School of Cybersecurity

Huazhong University of Science and Technology
City University of Hong Kong

Research output: Contribution to journal › Article › peer-review

50 Scopus citations

Abstract

In this note, robust consensus for a class of nonlinear second-order multiagent systems with uncertainties is investigated from an event-triggered control approach. An event-triggered distributed control protocol is designed to achieve semiglobal robust leaderless consensus for directed graphs. To guarantee the feasibility of the proposed scheme, the event-based consensus is converted to an event-based stabilization for analysis. Zeno behavior is avoided under the proposed event-triggered mechanism. The effectiveness of the proposed event-triggered scheme is demonstrated by numerical simulations.

Original language	English
Article number	8786168
Pages (from-to)	1683-1690
Number of pages	8
Journal	IEEE Transactions on Automatic Control
Volume	65
Issue number	4
DOIs	https://doi.org/10.1109/TAC.2019.2932752
State	Published - Apr 2020

Keywords

Agents and autonomous systems
consensus
cooperative control
network analysis and control

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10.1109/TAC.2019.2932752

Cite this

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title = "Event-Triggered Control for Semiglobal Robust Consensus of a Class of Nonlinear Uncertain Multiagent Systems",

abstract = "In this note, robust consensus for a class of nonlinear second-order multiagent systems with uncertainties is investigated from an event-triggered control approach. An event-triggered distributed control protocol is designed to achieve semiglobal robust leaderless consensus for directed graphs. To guarantee the feasibility of the proposed scheme, the event-based consensus is converted to an event-based stabilization for analysis. Zeno behavior is avoided under the proposed event-triggered mechanism. The effectiveness of the proposed event-triggered scheme is demonstrated by numerical simulations.",

keywords = "Agents and autonomous systems, consensus, cooperative control, network analysis and control",

author = "Haofei Meng and Zhang, \{Hai Tao\} and Zhen Wang and Guanrong Chen",

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AU - Meng, Haofei

AU - Zhang, Hai Tao

AU - Wang, Zhen

AU - Chen, Guanrong

PY - 2020/4

Y1 - 2020/4

N2 - In this note, robust consensus for a class of nonlinear second-order multiagent systems with uncertainties is investigated from an event-triggered control approach. An event-triggered distributed control protocol is designed to achieve semiglobal robust leaderless consensus for directed graphs. To guarantee the feasibility of the proposed scheme, the event-based consensus is converted to an event-based stabilization for analysis. Zeno behavior is avoided under the proposed event-triggered mechanism. The effectiveness of the proposed event-triggered scheme is demonstrated by numerical simulations.

AB - In this note, robust consensus for a class of nonlinear second-order multiagent systems with uncertainties is investigated from an event-triggered control approach. An event-triggered distributed control protocol is designed to achieve semiglobal robust leaderless consensus for directed graphs. To guarantee the feasibility of the proposed scheme, the event-based consensus is converted to an event-based stabilization for analysis. Zeno behavior is avoided under the proposed event-triggered mechanism. The effectiveness of the proposed event-triggered scheme is demonstrated by numerical simulations.

KW - Agents and autonomous systems

KW - consensus

KW - cooperative control

KW - network analysis and control

UR - https://www.scopus.com/pages/publications/85082884483

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JF - IEEE Transactions on Automatic Control

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M1 - 8786168

ER -

Event-Triggered Control for Semiglobal Robust Consensus of a Class of Nonlinear Uncertain Multiagent Systems

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Keywords

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