Publication de la collection HAL LS2N-CODEX pour 2024
| ART_INT | COMM_INT | AUTRES |
|---|---|---|
| 1 | 5 | 1 |
Chiffres en cours de consolidation
Revues internationales avec comité de lecture (ART_INT)
- [1] L. Michel, I. Neunaber, R. Mishra, C. Braud, F. Plestan, J. Barbot, P. Hamon. A novel lift controller for a wind turbine blade section using an active flow control device including saturations: experimental results. In IEEE Transactions on Control Systems Technology ; éd. Institute of Electrical and Electronics Engineers, 2024.https://hal.science/hal-04302763v1
- [2] V. Bartolucci, D. Scaradozzi, E. Zattoni, J. Loiseau, C. Martinez, G. Conte. A Max-plus Algebra-Based Approach for Modelling Shoals of Fish Robots During Underwater Exploration. In the Thirty-fourth (2024) International Ocean and Polar Engineering Conference, juin 2024, Rhodes, Grèce.https://hal.science/hal-04662720v1
- [3] F. Gauthier-Clerc, H. Le Capitaine, F. Claveau, P. Chevrel. Comparing Neural Network and Linear Models in Economic MPC: Insights from BOPTEST for Building Temperature Control. In ECC 2024: European Control Conference, juin 2024, Stockholm, Suède.https://hal.science/hal-04550997v1
- [4] L. Gruss, M. Yagoubi, M. Thieffry, P. Chevrel, A. Grossetête. Implementation and validation of simultaneous state and parameter moving horizon estimation of a pressurized water reactor. In 2024 European Control Conference (ECC), juin 2024, Stockholm, Suède.https://hal.science/hal-04725266v1
- [5] L. Michel, E. Guilmineau, C. Braud, F. Plestan, J. Pierre Barbot. Model-free based pitch control of a wind turbine blade section: aerodynamic simulation. In European Control Conference 2024, juin 2024, Stockholm (Suède), Suède.https://hal.science/hal-04520407v1
- [6] M. Yagoubi, A. Hache, M. Thieffry, P. Chevrel. Control Oriented Neural Network Model Learning : L2-Disturbance Attenuation Via an Approximate Input-Output Linearizable Model. In 28th International Conference on System Theory, Control and Computing (ICSTCC), octobre 2024, Sinaia, Roumanie.https://hal.science/hal-04727267v1
- [7] M. Thieffry, A. Hache, M. Yagoubi, P. Chevrel. Identification for Control Based on Neural Networks: Approximately Linearizable Models. In Symposium on Systems Theory in Data and Optimization University of Stuttgart, septembre 2024, Stuttgart, Allemagne.https://hal.science/hal-04727245v1
