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Joseph Lorenzetti
Joseph Lorenzetti
Verifierad e-postadress på stanford.edu
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Reach-avoid games via mixed-integer second-order cone programming
J Lorenzetti, M Chen, B Landry, M Pavone
2018 IEEE conference on decision and control (CDC), 4409-4416, 2018
132018
A simple and efficient tube-based robust output feedback model predictive control scheme
J Lorenzetti, M Pavone
2020 European Control Conference (ECC), 1775-1782, 2020
82020
Reduced order model predictive control for setpoint tracking
J Lorenzetti, B Landry, S Singh, M Pavone
2019 18th European Control Conference (ECC), 299-306, 2019
72019
Bilevel optimization for planning through contact: A semidirect method
B Landry, J Lorenzetti, Z Manchester, M Pavone
arXiv preprint arXiv:1906.04292, 2019
72019
Soft robot optimal control via reduced order finite element models
S Tonkens, J Lorenzetti, M Pavone
2021 IEEE International Conference on Robotics and Automation (ICRA), 12010 …, 2021
52021
UAV aircraft carrier landing using CFD-based model predictive control
J Lorenzetti, AR McClellan, C Farhat, M Pavone
AIAA Scitech 2020 Forum, 1721, 2020
42020
Projection-based model order reduction for flight dynamics and model predictive control
AR McClellan, J Lorenzetti, M Pavone, C Farhat
AIAA Scitech 2020 Forum, 1190, 2020
42020
Error bounds for reduced order model predictive control
J Lorenzetti, M Pavone
2020 59th IEEE Conference on Decision and Control (CDC), 2521-2528, 2020
32020
Scalable filtering of large graph-coupled hidden Markov models
RN Haksar, J Lorenzetti, M Schwager
2019 IEEE 58th Conference on Decision and Control (CDC), 1307-1314, 2019
32019
Determining products of inertia for small scale UAVs
JS Lorenzetti, L Bañuelos, R Clarke, OJ Murillo, A Bowers
55th AIAA Aerospace Sciences Meeting, 0547, 2017
22017
Reduced Order Model Predictive Control of High-Dimensional Systems
JS Lorenzetti
Stanford University, 2021
12021
Linear Reduced Order Model Predictive Control
J Lorenzetti, A McClellan, C Farhat, M Pavone
arXiv preprint arXiv:2012.03384, 2020
12020
Learning Branch-and-Bound Strategies for Solving Mixed-Integer Programs in the Context of Robot Motion Planning
A Cauligi, P Culbertson, J Lorenzetti
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Artiklar 1–13