Consensus of T-S Fuzzy Fractional-Order, Singular Perturbation, Multi-Agent Systems

Due to system complexity, research on fuzzy fractional-order, singular perturbation, multi-agent systems (FOSPMASs) remains limited in control theory. This article focuses on the leader-following consensus of fuzzy FOSPMASs with orders in the range of 0, 2. By employing the T-S fuzzy modeling approach, a fuzzy FOSPMAS is constructed. In order to achieve the consensus of a FOSPMAS with multiple time-scale characteristics, a fuzzy observer-based controller is designed, and the error system corresponding to each agent is derived. Through a series of equivalent transformations, the error system is decomposed into fuzzy singular fractional-order systems (SFOSs). The consensus conditions of the fuzzy FOSPMASs are obtained based on linear matrix inequalities (LMIs) without an equality constraint. The theorems provide a way to tackle the uncertainty and nonlinearity in FOSPMASs with orders in the range of 0, 2. Finally, the effectiveness of the theorems is verified through an RLC circuit model and a numerical example.

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Institutions

Publication Details

Journal
Fractal and Fractional
Published
2024-09-05
DOI
https://doi.org/10.3390/fractalfract8090523
Citations
16
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
5.58

Funders

Controls
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article

Consensus of T-S Fuzzy Fractional-Order, Singular Perturbation, Multi-Agent Systems

Witold Pedrycz, Shuang‐Hua Yang, Driss Boutat, Xiyi Wang et al.
16 citations
Fractal and Fractional
Distributed Control Multi-Agent Systems
5.58
article

Consensus of T-S Fuzzy Fractional-Order, Singular Perturbation, Multi-Agent Systems

Witold Pedrycz, Shuang‐Hua Yang, Driss Boutat, Xiyi Wang, Xuefeng Zhang
article en
16 citations

Abstract

Due to system complexity, research on fuzzy fractional-order, singular perturbation, multi-agent systems (FOSPMASs) remains limited in control theory. This article focuses on the leader-following consensus of fuzzy FOSPMASs with orders in the range of 0, 2. By employing the T-S fuzzy modeling approach, a fuzzy FOSPMAS is constructed. In order to achieve the consensus of a FOSPMAS with multiple time-scale characteristics, a fuzzy observer-based controller is designed, and the error system corresponding to each agent is derived. Through a series of equivalent transformations, the error system is decomposed into fuzzy singular fractional-order systems (SFOSs). The consensus conditions of the fuzzy FOSPMASs are obtained based on linear matrix inequalities (LMIs) without an equality constraint. The theorems provide a way to tackle the uncertainty and nonlinearity in FOSPMASs with orders in the range of 0, 2. Finally, the effectiveness of the theorems is verified through an RLC circuit model and a numerical example.

Fractal and FractionalVol. 8(9)
Université d'Orléans (FR), University of Alberta (CA), Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (FR), Services déconcentrés d'appui à la recherche Val de Loire (FR), Institut National des Sciences Appliquées Centre Val de Loire (FR), University of Reading (GB), Northeastern University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 4%
Distributed Control Multi-Agent Systems
5.58
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