Spécialité :
automatique
Bureau : G325
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120 documents
- Mattia Giaccagli, Samuele Zoboli, Daniele Astolfi, Vincent Andrieu, Giacomo Casadei. Synchronization in Networks of Nonlinear Systems: Contraction Analysis via Riemannian Metrics and Deep-Learning for Feedback Estimation. 2023. ⟨hal-03801100v2⟩
- L Brivadis, Vincent Andrieu, Pauline Bernard, Ulysse Serres. Further remarks on KKL observers. Systems and Control Letters, 2023, 172, pp.105429. ⟨hal-03695863v3⟩
- 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. 2023. ⟨hal-03945265⟩
- Tanguy Simon, Mattia Giaccagli, Jean-François Trégouët, Daniele Astolfi, Vincent Andrieu, et al.. Robust Regulation of a Power Flow Controller via Nonlinear Integral Action. IEEE Transactions on Control Systems Technology, In press. ⟨hal-03920401⟩
- Mattia Giaccagli, Vincent Andrieu, Sophie Tarbouriech, Daniele Astolfi. LMI conditions for contraction, integral action, and output feedback stabilization for a class of nonlinear systems. Automatica, In press, 10 p. ⟨hal-04093784⟩
- Daniele Astolfi, Swann Marx, Vincent Andrieu, Christophe Prieur. Global exponential set-point regulation for linear operator semigroups with input saturation. CDC 2022 - 61st IEEE Conference on Decision and Control, IEEE, Dec 2022, Cancun, Mexico. pp.7358 - 7363, ⟨10.1109/CDC51059.2022.9993082⟩. ⟨hal-04005700⟩
- Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, Vincent Andrieu. Towards improving the estimation performance of a given nonlinear observer: a multi-observer approach. 61st IEEE Conference Decision and Control, CDC 2022, Dec 2022, Cancun, Mexico. ⟨hal-03766736⟩
- Samuele Zoboli, Daniele Astolfi, Vincent Andrieu. Total stability and integral action for discrete-time nonlinear systems. 2022. ⟨hal-03801183⟩
- Tanguy Simon, Mattia Giaccagli, Jean-François Trégouët, Daniele Astolfi, Vincent Andrieu, et al.. Robust Output Set-Point Tracking for a Power Flow Controller via Forwarding Design. CDC, Dec 2021, Austin, United States. ⟨10.1109/CDC45484.2021.9682901⟩. ⟨hal-03375498⟩
- Pauline Bernard, Vincent Andrieu. Remarks about the numerical inversion of injective nonlinear maps. IEEE Conference on Decision and Control, Dec 2021, Austin, United States. ⟨hal-03548305⟩