Non-fragile consensus control of fractional-order multi-agent systems under estimated topology: A linear matrix inequality method

This paper investigates the non-fragile consensus of uncertain nonlinear fractional-order multi-agent systems under estimated communication topology. The non-fragile consensus protocol is proposed to ensure that the system achieves consensus in the presence of structured uncertainty. Sufficient consensus criteria in terms of linear matrix inequalities are derived by employing the Lyapunov method, graph theory, matrix theory, and so on. At the end of this paper, numerical simulations are given to demonstrate the effectiveness of the proposed control protocol.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2026-05-12
DOI
https://doi.org/10.1177/01423312261445131
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Non-fragile consensus control of fractional-order multi-agent systems under estimated topology: A linear matrix inequality method

Jianmei Wang, Junjun Liu, Mengyun Zhao, Xiao Peng
Transactions of the Institute of Measurement and Control
Distributed Control Multi-Agent Systems
article

Non-fragile consensus control of fractional-order multi-agent systems under estimated topology: A linear matrix inequality method

Jianmei Wang, Junjun Liu, Mengyun Zhao, Xiao Peng
article en

Abstract

This paper investigates the non-fragile consensus of uncertain nonlinear fractional-order multi-agent systems under estimated communication topology. The non-fragile consensus protocol is proposed to ensure that the system achieves consensus in the presence of structured uncertainty. Sufficient consensus criteria in terms of linear matrix inequalities are derived by employing the Lyapunov method, graph theory, matrix theory, and so on. At the end of this paper, numerical simulations are given to demonstrate the effectiveness of the proposed control protocol.

Transactions of the Institute of Measurement and Control
Hebei University of Economics and Business (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 4%
Distributed Control Multi-Agent Systems
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Non-fragile consensus control of fractional-order multi-agent systems under estimated topology: A linear matrix inequality method — Jianmei Wang, Junjun Liu, et al. · Transactions of the Institute of Measurement and Control (2026) | TGRS Research Map | TGRS