Asymptotic Consensus for a Nonlinear Multi‐Agent System Modeled by the Wave Partial Differential Equations

ABSTRACT This study addresses the challenge of achieving asymptotic consensus for a nonlinear multi‐agent system described by wave equations. Firstly, a consensus control scheme is designed using only the boundary information of the multi‐agent system. Next, by means of operator semi‐group theory, the existence and uniqueness of the solution for the closed‐loop multi‐agent system are analyzed and proved. A distributed protocol is introduced to approximate the multi‐agent consensus realization to the exponential stability achievement of an error system. Then, the stability of the error system is proven using the Lyapunov stability theory. Finally, the effectiveness of the designed control scheme is verified by a simulation example.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-04-01
DOI
https://doi.org/10.1002/rnc.7957
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
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article

Asymptotic Consensus for a Nonlinear Multi‐Agent System Modeled by the Wave Partial Differential Equations

Li Tang, Runhuan Sun, Yan‐Jun Liu
1 citations
International Journal of Robust and Nonlinear Control
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
article

Asymptotic Consensus for a Nonlinear Multi‐Agent System Modeled by the Wave Partial Differential Equations

Li Tang, Runhuan Sun, Yan‐Jun Liu
article en
1 citations

Abstract

ABSTRACT This study addresses the challenge of achieving asymptotic consensus for a nonlinear multi‐agent system described by wave equations. Firstly, a consensus control scheme is designed using only the boundary information of the multi‐agent system. Next, by means of operator semi‐group theory, the existence and uniqueness of the solution for the closed‐loop multi‐agent system are analyzed and proved. A distributed protocol is introduced to approximate the multi‐agent consensus realization to the exponential stability achievement of an error system. Then, the stability of the error system is proven using the Lyapunov stability theory. Finally, the effectiveness of the designed control scheme is verified by a simulation example.

International Journal of Robust and Nonlinear ControlVol. 35(12)
Liaoning University of Technology (CN)
National Natural Science Foundation of China, Liaoning Revitalization Talents Program
Openalex Percentile: Top 17%
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
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Asymptotic Consensus for a Nonlinear Multi‐Agent System Modeled by the Wave Partial Differential Equations — Li Tang, Runhuan Sun, et al. · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS