Sparse control in microscopic and mean-field leader-follower models

This work investigates the decay properties of Lyapunov functions in leader-follower systems seen as a sparse control framework. Starting with a microscopic representation, we establish conditions under which the total Lyapunov function, encompassing both leaders and followers, is decaying. The analysis is extended to a hybrid setting combining a mean-field description for followers and a microscopic model for leaders. We identify sufficient conditions on control gain and interaction strengths that guarantee stabilization of the linear system towards a target state. The results highlight the influence of sparse control and interaction parameters in achieving coordinated behavior in multi-agent systems.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025856
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Sparse control in microscopic and mean-field leader-follower models

Chiara Segala, Michaël Herty, Melanie Harms, Eva Zerz
AIMS Mathematics
Distributed Control Multi-Agent Systems
article

Sparse control in microscopic and mean-field leader-follower models

Chiara Segala, Michaël Herty, Melanie Harms, Eva Zerz
article en

Abstract

This work investigates the decay properties of Lyapunov functions in leader-follower systems seen as a sparse control framework. Starting with a microscopic representation, we establish conditions under which the total Lyapunov function, encompassing both leaders and followers, is decaying. The analysis is extended to a hybrid setting combining a mean-field description for followers and a microscopic model for leaders. We identify sufficient conditions on control gain and interaction strengths that guarantee stabilization of the linear system towards a target state. The results highlight the influence of sparse control and interaction parameters in achieving coordinated behavior in multi-agent systems.

AIMS MathematicsVol. 10(8)
Università della Svizzera italiana (CH), RWTH Aachen University (DE)
Openalex Percentile: Top 75%
Distributed Control Multi-Agent Systems
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