Fixed-Time Consensus Tracking Control for Nonlinear Multi-Agent Systems: A Dynamic Edge/Self-Triggered Approach

Mingliang Liu; Yanning Guo; Guangtao Ran; Ju H. Park

doi:10.1109/TCSII.2025.3637122

Fixed-Time Consensus Tracking Control for Nonlinear Multi-Agent Systems: A Dynamic Edge/Self-Triggered Approach

Mingliang Liu
, Yanning Guo
, Guangtao Ran^*
, Ju H. Park

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology
Yeungnam University

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

3 Scopus citations

Abstract

This brief investigates the fixed-time consensus tracking (FTCT) problem for nonlinear multi-agent systems (MASs) via a dynamic edge-triggered (DET) control mechanism. Unlike traditional node-based event-triggered (NbEvT) methods, which synchronously update all neighbor information at triggering instants, edge-triggered designs individual conditions for each edge, enabling asynchronous updates and thereby reducing communication burden at most of the time. A novel DET-based FTCT control strategy is proposed, ensuring fixed-time convergence and Zeno-free phenomenon. Furthermore, a novel DET-based self-triggered mechanism is designed to avoid continuous monitoring and further reduce energy consumption. Simulation results are provided to validate the effectiveness of the proposed algorithms.

Original language	English
Pages (from-to)	73-77
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	73
Issue number	1
DOIs	https://doi.org/10.1109/TCSII.2025.3637122
State	Published - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Edge-triggered control
consensus tracking control
fixed-time control
self-triggered control

Access to Document

10.1109/TCSII.2025.3637122

Cite this

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title = "Fixed-Time Consensus Tracking Control for Nonlinear Multi-Agent Systems: A Dynamic Edge/Self-Triggered Approach",

abstract = "This brief investigates the fixed-time consensus tracking (FTCT) problem for nonlinear multi-agent systems (MASs) via a dynamic edge-triggered (DET) control mechanism. Unlike traditional node-based event-triggered (NbEvT) methods, which synchronously update all neighbor information at triggering instants, edge-triggered designs individual conditions for each edge, enabling asynchronous updates and thereby reducing communication burden at most of the time. A novel DET-based FTCT control strategy is proposed, ensuring fixed-time convergence and Zeno-free phenomenon. Furthermore, a novel DET-based self-triggered mechanism is designed to avoid continuous monitoring and further reduce energy consumption. Simulation results are provided to validate the effectiveness of the proposed algorithms.",

keywords = "Edge-triggered control, consensus tracking control, fixed-time control, self-triggered control",

author = "Mingliang Liu and Yanning Guo and Guangtao Ran and Park, \{Ju H.\}",

note = "Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",

year = "2026",

doi = "10.1109/TCSII.2025.3637122",

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AU - Liu, Mingliang

AU - Guo, Yanning

AU - Ran, Guangtao

AU - Park, Ju H.

PY - 2026

Y1 - 2026

N2 - This brief investigates the fixed-time consensus tracking (FTCT) problem for nonlinear multi-agent systems (MASs) via a dynamic edge-triggered (DET) control mechanism. Unlike traditional node-based event-triggered (NbEvT) methods, which synchronously update all neighbor information at triggering instants, edge-triggered designs individual conditions for each edge, enabling asynchronous updates and thereby reducing communication burden at most of the time. A novel DET-based FTCT control strategy is proposed, ensuring fixed-time convergence and Zeno-free phenomenon. Furthermore, a novel DET-based self-triggered mechanism is designed to avoid continuous monitoring and further reduce energy consumption. Simulation results are provided to validate the effectiveness of the proposed algorithms.

AB - This brief investigates the fixed-time consensus tracking (FTCT) problem for nonlinear multi-agent systems (MASs) via a dynamic edge-triggered (DET) control mechanism. Unlike traditional node-based event-triggered (NbEvT) methods, which synchronously update all neighbor information at triggering instants, edge-triggered designs individual conditions for each edge, enabling asynchronous updates and thereby reducing communication burden at most of the time. A novel DET-based FTCT control strategy is proposed, ensuring fixed-time convergence and Zeno-free phenomenon. Furthermore, a novel DET-based self-triggered mechanism is designed to avoid continuous monitoring and further reduce energy consumption. Simulation results are provided to validate the effectiveness of the proposed algorithms.

KW - Edge-triggered control

KW - consensus tracking control

KW - fixed-time control

KW - self-triggered control

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DO - 10.1109/TCSII.2025.3637122

M3 - 文章

AN - SCOPUS:105023319987

SN - 1549-7747

VL - 73

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JO - IEEE Transactions on Circuits and Systems II: Express Briefs

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ER -

Fixed-Time Consensus Tracking Control for Nonlinear Multi-Agent Systems: A Dynamic Edge/Self-Triggered Approach

Abstract

UN SDGs

Keywords

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