Artykuły udostępnione publicznie: - Raktim BhattacharyaWięcej informacji
Niedostępny w żadnym miejscu: 1
Guaranteed Robust Performance of Filters With Sparse and Low Precision Sensing
VM Deshpande, R Bhattacharya
IEEE Transactions on Automatic Control 69 (2), 1029-1036, 2023
Upoważnienia: US National Science Foundation
Dostępne w jakimś miejscu: 20
Robust Kalman filtering with probabilistic uncertainty in system parameters
S Kim, VM Deshpande, R Bhattacharya
IEEE Control Systems Letters 5 (1), 295-300, 2020
Upoważnienia: US National Science Foundation
Optimal-transport-based tracking of space objects using range data from a single ranging station
N Das, V Deshpande, R Bhattacharya
Journal of Guidance, Control, and Dynamics 42 (6), 1237-1249, 2019
Upoważnienia: US Department of Defense
Sparse Sensing and Optimal Precision: An Integrated Framework for H2/H∞ Optimal Observer Design
VM Deshpande, R Bhattacharya
IEEE Control Systems Letters 5 (2), 481-486, 2020
Upoważnienia: US National Science Foundation
Optimal transport based tracking of space objects in cylindrical manifolds
N Das, RP Ghosh, N Guha, R Bhattacharya, B Mallick
The Journal of the Astronautical Sciences 66 (4), 582-606, 2019
Upoważnienia: US Department of Defense
A unified framework to generate optimized compact finite difference schemes
VM Deshpande, R Bhattacharya, DA Donzis
Journal of Computational Physics 432, 110157, 2021
Upoważnienia: US National Science Foundation
A Lagrangian method for constrained dynamics in tensegrity systems with compressible bars
SC Hsu, V Tadiparthi, R Bhattacharya
Computational Mechanics 67, 139-165, 2021
Upoważnienia: US National Science Foundation, US National Aeronautics and Space Administration
STEDY: Software for tensegrity dynamics
V Tadiparthi, SC Hsu, R Bhattacharya
Journal of Open Source Software 4 (33), 1042, 2019
Upoważnienia: US National Science Foundation, US National Aeronautics and Space Administration
Optimal sensor precision for multirate sensing for bounded estimation error
N Das, R Bhattacharya
IEEE Transactions on Aerospace and Electronic Systems 58 (2), 844-854, 2021
Upoważnienia: US National Science Foundation
Sparse sensing and optimal precision: Robust H∞ optimal observer design with model uncertainty
VM Deshpande, R Bhattacharya
2021 American Control Conference (ACC), 4105-4110, 2021
Upoważnienia: US National Science Foundation
Optimal sensing precision in ensemble and unscented kalman filtering
N Das, R Bhattacharya
IFAC-PapersOnLine 53 (2), 5016-5021, 2020
Upoważnienia: US Department of Defense
A unified approach for deriving optimal finite differences
K Kumari, R Bhattacharya, DA Donzis
Journal of Computational Physics 399, 108957, 2019
Upoważnienia: US National Science Foundation
Computationally Efficient Attitude Estimation with Extended Filtering
S Kim, V Tadiparthi, R Bhattacharya
Journal of Guidance, Control, and Dynamics 44 (2), 418-427, 2021
Upoważnienia: US National Science Foundation
Privacy and utility aware data sharing for space situational awareness from ensemble and unscented Kalman filtering perspective
N Das, R Bhattacharya
IEEE Transactions on Aerospace and Electronic Systems 57 (2), 1162-1176, 2020
Upoważnienia: US Department of Defense
Sparse sensing architecture for kalman filtering with guaranteed error bound
N Das, R Bhattacharya
1st IAA ICSSA, 2017
Upoważnienia: US Department of Defense
Optimal transport based filtering with nonlinear state equality constraints
N Das, R Bhattacharya
IFAC-PapersOnLine 53 (2), 2373-2378, 2020
Upoważnienia: US Department of Defense
Surrogate modeling of dynamics from sparse data using maximum entropy basis functions
VM Deshpande, R Bhattacharya
2020 American Control Conference (ACC), 4046-4051, 2020
Upoważnienia: US National Science Foundation
Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments
VM Deshpande, R Bhattacharya
2021 American Control Conference (ACC), 1571-1576, 2021
Upoważnienia: US National Science Foundation
Eigen Value Analysis in Lower Bounding Uncertainty of Kalman Filter Estimates
N Das, R Bhattacharya
IFAC-PapersOnLine 53 (2), 5022-5027, 2020
Upoważnienia: US Department of Defense
On Neural Network Training from Noisy Data using a Novel Filtering Framework
V Deshpande, N Das, V Tadiparthi, R Bhattacharya
AIAA Scitech 2020 Forum, 1869, 2020
Upoważnienia: US National Science Foundation
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