Mathieu Marchand, Vincent Andrieu, Sylvain Bertrand, Hélène Piet-Lahanier. Deep learning of a communication policy for an event-triggered observer for nonlinear systems. Automatica, 2025, 180, pp.112472. ⟨10.1016/j.automatica.2025.112472⟩. ⟨hal-05651972⟩
Communications dans un congrès4 documents
Alexandre Kha, Aurélie Beynier, Christophe Labreuche, Mathieu Marchand. Enhancing CBBA convergence and optimality guarantees in Multiagent Task Allocation. 28th European Conference on Artificial Intelligence (ECAI 2025), Oct 2025, Bologna, Italy. pp.3485 – 3494, ⟨10.3233/FAIA251222⟩. ⟨hal-05218405⟩
Mathieu Marchand, Vincent Andrieu, Sylvain Bertrand, Steeven Janny, Hélène Piet-Lahanier. Deep Learning of a Communication Policy for an Event-Triggered Observer for Linear Systems. 22nd IFAC World Congress, Jul 2023, Yokohama, Japan. pp.5261-5268, ⟨10.1016/j.ifacol.2023.10.166⟩. ⟨hal-03945265v2⟩
Mathieu Marchand, Vincent Andrieu, Sylvain Bertrand, Hélène Piet-Lahanier. Distributed Event-Triggered Leader-Follower Consensus of Nonlinear Multi-Agent Systems. 31st MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION (MED’23), Jun 2023, Limassol, Cyprus. ⟨10.1109/MED59994.2023.10185711⟩. ⟨hal-04173096⟩
Mathieu Marchand, Vincent Andrieu, Sylvain Betrand, Hélène Piet-Lahanier. Apprentissage de lois de communication à déclenchement événementiel pour les observateurs et la commande de systèmes multi-agents. Premier congrès annuel de la SAGIP, Jun 2023, Marseille, France. ⟨hal-04171834⟩
Pré-publications, Documents de travail1 document
Mathieu Marchand, Vincent Andrieu, Sylvain Betrand, Hélène Piet-Lahanier. Distributed Event-Triggered Leader-Follower Consensus of Nonlinear Input-Affine Multi-Agent Systems. 2024. ⟨hal-04482201⟩
Thèses1 document
Mathieu Marchand. Learning and event‐triggered methods for the coordinations of multi‐agent systems. Automatic. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPAST125⟩. ⟨tel-04547399⟩