Consensus of marginally stable systems of reaction–diffusion equations with decentralized boundary control

This paper deals with the consensus problem for a network of identical reaction–diffusion equations with boundary control. Under the assumptions of open-loop marginal stability and connectivity of the interconnection graph, a decentralized control law can be designed such that the states of the equations converge to the same constant value. The synthesis of the controllers is carried out based on spectral decomposition, which is possible thanks to a clever input-dependent change of coordinates. Furthermore, the proposed architecture can be enhanced to cope with in-domain couplings among the networked equations. Two simulation examples support and illustrate the theoretical findings.

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Publication Details

Journal
Automatica
Published
2026-03-03
DOI
https://doi.org/10.1016/j.automatica.2026.112887
Primary Topic
Stability and Controllability of Differential Equations
Type
article
Field-Weighted Citation Impact
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article

Consensus of marginally stable systems of reaction–diffusion equations with decentralized boundary control

Giacomo Casadei, Andrea Cristofaro, Christophe Prieur, Francesco Ferrante
Automatica
Stability and Controllability of Differential Equations
article

Consensus of marginally stable systems of reaction–diffusion equations with decentralized boundary control

Giacomo Casadei, Andrea Cristofaro, Christophe Prieur, Francesco Ferrante
article en

Abstract

This paper deals with the consensus problem for a network of identical reaction–diffusion equations with boundary control. Under the assumptions of open-loop marginal stability and connectivity of the interconnection graph, a decentralized control law can be designed such that the states of the equations converge to the same constant value. The synthesis of the controllers is carried out based on spectral decomposition, which is possible thanks to a clever input-dependent change of coordinates. Furthermore, the proposed architecture can be enhanced to cope with in-domain couplings among the networked equations. Two simulation examples support and illustrate the theoretical findings.

AutomaticaVol. 187
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), University of Perugia (IT), Centre Inria de l'Université Grenoble Alpes (FR), Sapienza University of Rome (IT), Université Grenoble Alpes (FR)
Reduced inequalities
Openalex Percentile: Top 39%
Stability and Controllability of Differential Equations
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