Articoli con mandati relativi all'accesso pubblico - Sean MeynUlteriori informazioni
Non disponibili pubblicamente: 3
Convex analytic theory for convex Q-learning
F Lu, PG Mehta, SP Meyn, G Neu
2022 IEEE 61st Conference on Decision and Control (CDC), 4065-4071, 2022
Mandati: US National Science Foundation, US Department of Defense
Implementational aspects for the characterization of low-inertia in power systems
MD Baquedano-Aguilar, N Aljohani, SP Meyn, A Bretas
2022 North American Power Symposium (NAPS), 1-6, 2022
Mandati: US Department of Energy
Inverse Free Zap Stochastic Approximation Extended Abstract
C Lauand, A Bušić, S Meyn
2023 59th Annual Allerton Conference on Communication, Control, and …, 2023
Mandati: US Department of Defense
Disponibili pubblicamente: 75
Experimental evaluation of frequency regulation from commercial building HVAC systems
Y Lin, P Barooah, S Meyn, T Middelkoop
IEEE Transactions on Smart Grid 6 (2), 776-783, 2015
Mandati: US Department of Energy
Ancillary service to the grid using intelligent deferrable loads
SP Meyn, P Barooah, A Bušić, Y Chen, J Ehren
IEEE Transactions on Automatic Control 60 (11), 2847-2862, 2015
Mandati: US Department of Energy
Multivariable feedback particle filter
T Yang, RS Laugesen, PG Mehta, SP Meyn
Automatica 71, 10-23, 2016
Mandati: US National Science Foundation
Zap Q-learning
AM Devraj, S Meyn
Advances in Neural Information Processing Systems 30, 2017
Mandati: US National Science Foundation
Distributed control design for balancing the grid using flexible loads
Y Chen, MU Hashmi, J Mathias, A Bušić, S Meyn
Energy Markets and Responsive Grids: Modeling, Control, and Optimization …, 2018
Mandati: US National Science Foundation, US Department of Energy
State estimation for the individual and the population in mean field control with application to demand dispatch
Y Chen, A Bušić, SP Meyn
IEEE Transactions on Automatic Control 62 (3), 1138-1149, 2016
Mandati: US National Science Foundation
Electricity rates for the zero marginal cost grid
H Lo, S Blumsack, P Hines, S Meyn
The Electricity Journal 32 (3), 39-43, 2019
Mandati: US National Science Foundation
Distributed randomized control for demand dispatch
A Bušić, S Meyn
2016 IEEE 55th Conference on Decision and Control (CDC), 6964-6971, 2016
Mandati: US National Science Foundation
Reinforcement learning for control of building HVAC systems
NS Raman, AM Devraj, P Barooah, SP Meyn
2020 American Control Conference (ACC), 2326-2332, 2020
Mandati: US National Science Foundation
Explicit mean-square error bounds for monte-carlo and linear stochastic approximation
S Chen, A Devraj, A Busic, S Meyn
International Conference on Artificial Intelligence and Statistics, 4173-4183, 2020
Mandati: US Department of Defense, Agence Nationale de la Recherche
Research trends and applications of PMUs
G Paramo, A Bretas, S Meyn
Energies 15 (15), 5329, 2022
Mandati: US National Science Foundation, US Department of Energy
Model-free primal-dual methods for network optimization with application to real-time optimal power flow
Y Chen, A Bernstein, A Devraj, S Meyn
2020 American Control Conference (ACC), 3140-3147, 2020
Mandati: US Department of Energy
An energy storage cost comparison: Li-ion batteries vs distributed load control
NJ Cammardella, RW Moye, Y Chen, SP Meyn
2018 Clemson University Power Systems Conference (PSC), 1-6, 2018
Mandati: US National Science Foundation, US Department of Energy
Balancing California's grid without batteries
N Cammardella, J Mathias, M Kiener, A Bušić, S Meyn
2018 IEEE Conference on Decision and Control (CDC), 7314-7321, 2018
Mandati: US National Science Foundation, US Department of Energy
Diffusion map-based algorithm for gain function approximation in the feedback particle filter
A Taghvaei, PG Mehta, SP Meyn
SIAM/ASA Journal on Uncertainty Quantification 8 (3), 1090-1117, 2020
Mandati: US National Science Foundation, US Department of Defense
Distributed computation of equilibria in misspecified convex stochastic Nash games
H Jiang, UV Shanbhag, SP Meyn
IEEE Transactions on Automatic Control 63 (2), 360-371, 2017
Mandati: US National Science Foundation
Rationally inattentive control of Markov processes
E Shafieepoorfard, M Raginsky, SP Meyn
SIAM Journal on Control and Optimization 54 (2), 987-1016, 2016
Mandati: US National Science Foundation
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