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- Centre National de la Recherche ScientifiqueFR209 papers
- Université Grenoble AlpesFR163 papers
- Institut polytechnique de GrenobleFR140 papers
- Grain Inspection, Packers and Stockyards AdministrationUS56 papers
- Laboratoire d'Informatique de GrenobleFR38 papers
- Centre Inria de l'Université Grenoble AlpesFR37 papers
- Institut national de recherche en sciences et technologies du numériqueFR33 papers
- Laboratoire des signaux et systèmesFR22 papers
- CentraleSupélecFR17 papers
- Sorbonne UniversitéFR16 papers
- Laboratoire Jean KuntzmannFR15 papers
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR14 papers
44 papers · 1 filter
MPC for tracking for anesthesia dynamics
Maxim Raymond, Kaouther Moussa, Mirko Fiacchini +1
In this paper, an MPC for tracking formulation is proposed for the control of anesthesia dynamics. It seamlessly enables the optimization of the steady-states pair that is not uniq…
On continuous-time sparse identification of nonlinear polynomial systems
Mazen Alamir
This paper leverages recent advances in high derivatives reconstruction from noisy-time series and sparse multivariate polynomial identification in order to improve the process of…
Convex computation of regions of attraction from data using Sums-of-Squares programming
Oumayma Khattabi, Matteo Tacchi, Sorin Olaru
This paper focuses on the analysis of the Region of Attraction (RoA) for unknown autonomous dynamical systems. A data-driven approach based on the moment-Sum-of-Squares (SoS) hiera…
Adaptive Task Space Non-Singular Terminal Super-Twisting Sliding Mode Control of a 7-DOF Robotic Manipulator
L. Wan, S. Smith, Y. -J. Pan +1
This paper presents a new task-space Non-singular Terminal Super-Twisting Sliding Mode (NT-STSM) controller with adaptive gains for robust trajectory tracking of a 7-DOF robotic ma…
Adaptive Control: Algorithms, Analysis and Applications
Ioan Doré Landau, Rogelio Lozano, Mohammed M Saad +1
Adaptive control provides techniques for adjusting control parameters in real time to maintain system performance despite unknown or changing process parameters. These methods use…
Model-Free Unsupervised Anomaly Detection Framework in Multivariate Time-Series of Industrial Dynamical Systems
Mazen Alamir, Raphaël Dion
In this paper, a new model-free anomaly detection framework is proposed for time-series induced by industrial dynamical systems.The framework lies in the category of conventional a…