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Vedang M. Deshpande
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2020 – today
- 2024
- [j6]Vedang M. Deshpande
, Raktim Bhattacharya
:
Guaranteed Robust Performance of $\mathcal {H}_{\infty }$ Filters With Sparse and Low Precision Sensing. IEEE Trans. Autom. Control. 69(2): 1029-1036 (2024) - 2023
- [j5]Vedang M. Deshpande
, Ankush Chakrabarty
, Abraham P. Vinod
, Christopher R. Laughman
:
Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States. IEEE Control. Syst. Lett. 7: 3483-3488 (2023) - [c6]Raphael Chinchilla, Vedang M. Deshpande, Ankush Chakrabarty, Christopher R. Laughman:
Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles. ACC 2023: 4069-4076 - [c5]Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang M. Deshpande, Kieran Parsons, Ye Wang:
Spectrum Sharing-Inspired Safe Motion Planning. ICC Workshops 2023: 819-824 - 2022
- [j4]Vedang M. Deshpande
, Raktim Bhattacharya
, Kamesh Subbarao
:
Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems. IEEE Control. Syst. Lett. 6: 1082-1087 (2022) - [c4]Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas:
Constrained Smoothers for State Estimation of Vapor Compression Cycles. ACC 2022: 2333-2340 - 2021
- [j3]Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya:
Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters. IEEE Control. Syst. Lett. 5(1): 295-300 (2021) - [j2]Vedang M. Deshpande
, Raktim Bhattacharya
:
Sparse Sensing and Optimal Precision: An Integrated Framework for H2/H∞ Optimal Observer Design. IEEE Control. Syst. Lett. 5(2): 481-486 (2021) - [j1]Vedang M. Deshpande, Raktim Bhattacharya, Diego A. Donzis:
A unified framework to generate optimized compact finite difference schemes. J. Comput. Phys. 432: 110157 (2021) - [c3]Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments. ACC 2021: 1571-1576 - [c2]Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty. ACC 2021: 4105-4110 - [i10]Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments. CoRR abs/2103.00739 (2021) - [i9]Vedang M. Deshpande, Raktim Bhattacharya:
Sensor Selection and Optimal Precision in H2/H∞ Estimation Framework: Theory and Algorithms. CoRR abs/2103.00750 (2021) - [i8]Vedang M. Deshpande, Raktim Bhattacharya, Kamesh Subbarao:
Sensor Placement with Optimal Precision for Temperature Estimation of Battery Systems. CoRR abs/2105.05976 (2021) - 2020
- [c1]Vedang M. Deshpande, Raktim Bhattacharya:
Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions. ACC 2020: 4046-4051 - [i7]Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing for H2/H∞ Optimal Observer Design with Bounded Errors. CoRR abs/2003.10887 (2020) - [i6]Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya:
Kalman Filtering with Probabilistic Uncertainty in System Parameters. CoRR abs/2003.10926 (2020) - [i5]Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya:
H2 Optimized PID Control of Quad-Copter Platform with Wind Disturbance. CoRR abs/2003.13801 (2020) - [i4]Vedang M. Deshpande, Raktim Bhattacharya:
Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions. CoRR abs/2004.01736 (2020) - [i3]Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty. CoRR abs/2009.01930 (2020)
2010 – 2019
- 2019
- [i2]Vedang M. Deshpande, Raktim Bhattacharya:
On Improved Statistical Accuracy of Low-Order Polynomial Chaos Approximations. CoRR abs/1909.03516 (2019) - [i1]Vedang M. Deshpande, Raktim Bhattacharya, Diego A. Donzis:
A unified framework to generate optimized compact finite difference schemes. CoRR abs/1912.07382 (2019)
Coauthor Index
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