ℓassoMPC: Smart regulation of over-actuated systems M Gallieri, JM Maciejowski 2012 American Control Conference (ACC), 1217-1222, 2012 | 79 | 2012 |
Nais-net: Stable deep networks from non-autonomous differential equations M Ciccone, M Gallieri, J Masci, C Osendorfer, F Gomez Advances in Neural Information Processing Systems 31, 2018 | 62 | 2018 |
Snode: Spectral discretization of neural odes for system identification A Quaglino, M Gallieri, J Masci, J Koutník arXiv preprint arXiv:1906.07038, 2019 | 54 | 2019 |
Terminal spacecraft rendezvous and capture with LASSO model predictive control EN Hartley, M Gallieri, JM Maciejowski International Journal of Control 86 (11), 2104-2113, 2013 | 52 | 2013 |
Infinite-horizon differentiable model predictive control S East, M Gallieri, J Masci, J Koutnik, M Cannon arXiv preprint arXiv:2001.02244, 2020 | 37 | 2020 |
Triangular formation control using range measurements: An application to marine robotic vehicles JM Soares, AP Aguiar, AM Pascoal, M Gallieri IFAC Proceedings Volumes 45 (5), 112-117, 2012 | 36 | 2012 |
Objectively Assessing Intraoperative Arthroscopic Skills Performance and the Transfer of Simulation Training in Knee Arthroscopy: A Randomized Controlled Trial PG Roberts, M Gallieri, C Hargrove, J Rees Journal of Arthroscopic and Related Surgery 35 (4), 1197-1209, 2019 | 29 | 2019 |
Fault detection and prognosis methods for a monitoring system of rotating electrical machines C Ciandrini, M Gallieri, A Giantomassi, G Ippoliti, S Longhi 2010 IEEE International Symposium on Industrial Electronics, 2085-2090, 2010 | 22 | 2010 |
Lasso-MPC–Predictive Control with l1-Regularised Least Squares M Gallieri Springer, 2016 | 18 | 2016 |
Stabilising terminal cost and terminal controller for ℓasso-MPC: enhanced optimality and region of attraction M Gallieri, JM Maciejowski 2013 European Control Conference (ECC), 524-529, 2013 | 18 | 2013 |
Safe Interactive Model-Based Learning M Gallieri, SSM Salehian, NE Toklu, A Quaglino, J Masci, J Koutník, ... https://arxiv.org/abs/1911.06556, 2019 | 17 | 2019 |
Neural lyapunov model predictive control M Mittal, M Gallieri, A Quaglino, SSM Salehian, J Koutník | 13 | 2020 |
Accelerating neural odes with spectral elements A Quaglino, M Gallieri, J Masci, J Koutnık arXiv preprint arXiv:1906.07038, 2019 | 13 | 2019 |
On the adaptation of recurrent neural networks for system identification M Forgione, A Muni, D Piga, M Gallieri Automatica 155, 111092, 2023 | 11 | 2023 |
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems S Pozzoli, M Gallieri, R Scattolini IFAC-PapersOnLine 53 (2), 5171-5176, 2020 | 7 | 2020 |
Real-time classification from short event-camera streams using input-filtering neural ODEs G Giannone, A Anoosheh, A Quaglino, P D'Oro, M Gallieri, J Masci arXiv preprint arXiv:2004.03156, 2020 | 6 | 2020 |
Neural lyapunov model predictive control: Learning safe global controllers from sub-optimal examples M Mittal, M Gallieri, A Quaglino, SSM Salehian, J Koutník arXiv preprint arXiv:2002.10451, 2020 | 6 | 2020 |
Principles of LASSO MPC M Gallieri, M Gallieri Lasso-MPC–Predictive Control with ℓ1-Regularised Least Squares, 47-63, 2016 | 6 | 2016 |
Model predictive control with prioritised actuators M Gallieri, JM Maciejowski 2015 European Control Conference (ECC), 533-538, 2015 | 4 | 2015 |
ℓasso-MPC-predictive control with ℓ₁-regularised least squares M Gallieri University of Cambridge, 2014 | 4 | 2014 |