Work

Synchronization of Multi-Agent Hybrid Systems With Synchronous State-Dependent Jumps

Year: 2025

Type: article

Abstract: In this paper, we investigate the problem of synchronization of multi-agent systems described by hybrid non-linear input affine dynamics. We consider networks described by undirected connected graphs without leader. We present a set of sufficient conditions based on an LMI approach in order to design a state-feedback distributed control law. Then, by exploiting the properties of the graph incidence matrix we provide an optimization of the tuning parameters. The incidence matrix properties also allow us to construct a Lyapunov function to establish synchronization of the hybrid network.

Source: IEEE Control Systems Letters

DOI: 10.1109/lcsys.2025.3583739

Authors: Alexandre Cellier-Devaux, Luca Zaccarian, Daniele Astolfi, Vincent Andrieu

Institutions: Lyon 1 Université, Centre National de la Recherche Scientifique, Laboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique, University of Trento

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Agence Nationale de la Recherche

Award: Control by neuro-dynamic programming: stability, robustness and optimality