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Sanket Diwale
Sanket Diwale
Postdoctoral Associate, MIT
Verified email at mit.edu
Title
Cited by
Cited by
Year
Bayesian optimization for material discovery processes with noise
S Diwale, MK Eisner, C Carpenter, W Sun, GC Rutledge, RD Braatz
Molecular Systems Design & Engineering 7 (6), 622-636, 2022
112022
Reference tracking stochastic model predictive control over unreliable channels and bounded control actions
PK Mishra, SS Diwale, CN Jones, D Chatterjee
Automatica 127, 109512, 2021
102021
Model predictive path-following control for airborne wind energy systems
S Diwale, T Faulwasser, CN Jones
IFAC-PapersOnLine 50 (1), 13270-13275, 2017
102017
Optimization of an airborne wind energy system using constrained gaussian processes
SS Diwale, I Lymperopoulos, CN Jones
2014 IEEE Conference on Control Applications (CCA), 1394-1399, 2014
102014
A nonlinear adaptive controller for airborne wind energy systems
S Diwale, A Alessandretti, I Lymperopoulos, CN Jones
2016 American Control Conference (ACC), 4101-4106, 2016
82016
Framework for application mapping over packet-switched network of fpgas: Case studies
VBY Kumar, P Engineer, M Datar, Y Turakhia, S Agarwal, S Diwale, ...
arXiv preprint arXiv:1508.06823, 2015
62015
Active directional modifier adaptation with trust region-application to energy-harvesting kites
M Jonin, M Singhal, S Diwale, CN Jones, D Bonvin
2018 European Control Conference (ECC), 2312-2317, 2018
42018
A generalized representer theorem for hilbert space-valued functions
S Diwale, C Jones
arXiv preprint arXiv:1809.07347, 2018
32018
Optimization of an airborne wind energy system using constrained Gaussian processes with transient measurements
SS Diwale, I Lymperopoulos, C Jones
Indian Control Conference, 2015
32015
Kernel methods and Model predictive approaches for Learning and Control
SS Diwale
EPFL, 2019
22019
Projective Geometry and precedence constraint based application mapping on multicore network-on-chip systems
J Porwal, S Diwale, VBY Kumar, SB Patkar
Technical Papers of 2014 International Symposium on VLSI Design, Automation …, 2014
12014
Data-driven discovery and design of additives for controlled polymer morphology and performance
S Diwale, NW Volchko, AJ Bourque, RD Braatz, GC Rutledge
Artificial Intelligence in Manufacturing, 29-56, 2024
2024
Gradient flow emulation using drift diffusion processes
S Diwale
WO Patent App. PCT/IB2019/060,782, 2021
2021
Manifold Learning and Optimal Control for Obstacle Avoidance in Autonomous Driving
SS Diwale, TD Son, C Jones
2019
Gaussian Processes for System Identification, Control and Optimisation
SS Diwale
LA3, 2015
2015
Predictive Control of an Airborne Wind Energy System using Gaussian Process Models
SS Diwale
Airborne Wind Energy Conference 2015, 2015
2015
Optimal control for power generating kites
SS Diwale
2014
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Articles 1–17