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John Irvin Alora
John Irvin Alora
Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Data-driven spectral submanifold reduction for nonlinear optimal control of high-dimensional robots
JI Alora, M Cenedese, E Schmerling, G Haller, M Pavone
2023 IEEE International Conference on Robotics and Automation (ICRA), 2627-2633, 2023
152023
Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions
JI Alora, A Gorodetsky, S Karaman, Y Marzouk, N Lowry
2016 IEEE 55th Conference on Decision and Control (CDC), 1131-1138, 2016
72016
Using spectral submanifolds for nonlinear periodic control
F Mahlknecht, JI Alora, S Jain, E Schmerling, R Bonalli, G Haller, ...
2022 IEEE 61st Conference on Decision and Control (CDC), 6548-6555, 2022
62022
Practical Deployment of Spectral Submanifold Reduction for Optimal Control of High-Dimensional Systems
JI Alora, M Cenedese, E Schmerling, G Haller, M Pavone
IFAC-PapersOnLine 56 (2), 4074-4081, 2023
32023
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (-MPC)
L Pabon, J Köhler, JI Alora, PB Eberhard, A Carron, MN Zeilinger, ...
arXiv preprint arXiv:2404.01550, 2024
2024
Robust Nonlinear Reduced-Order Model Predictive Control
JI Alora, LA Pabon, J Köhler, M Cenedese, E Schmerling, MN Zeilinger, ...
2023 62nd IEEE Conference on Decision and Control (CDC), 4798-4805, 2023
2023
Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions.
AA Gorodetsky, J Alora, S Karaman, N Lowry, Y Marzouk
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016
2016
Automated synthesis of low-rank stochastic dynamical systems using the tensor-train decomposition
JIP Alora
Massachusetts Institute of Technology, 2016
2016
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