Vedang M. Deshpande

According to our database, Vedang M. Deshpande authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guaranteed Robust Performance of $\mathcal {H}_{\infty }$ Filters With Sparse and Low Precision Sensing.

Vedang M. Deshpande, Raktim Bhattacharya

IEEE Trans. Autom. Control., February, 2024

2023

Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States.

Vedang M. Deshpande, Ankush Chakrabarty, Abraham P. Vinod, Christopher R. Laughman

IEEE Control. Syst. Lett., 2023

Spectrum Sharing-Inspired Safe Motion Planning.

Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang M. Deshpande, Kieran Parsons, Ye Wang

Proceedings of the IEEE International Conference on Communications, 2023

Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles.

Raphael Chinchilla, Vedang M. Deshpande, Ankush Chakrabarty, Christopher R. Laughman

Proceedings of the American Control Conference, 2023

2022

Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems.

Vedang M. Deshpande, Raktim Bhattacharya, Kamesh Subbarao

IEEE Control. Syst. Lett., 2022

Constrained Smoothers for State Estimation of Vapor Compression Cycles.

Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas

Proceedings of the American Control Conference, 2022

2021

A unified framework to generate optimized compact finite difference schemes.

Vedang M. Deshpande, Raktim Bhattacharya, Diego A. Donzis

J. Comput. Phys., 2021

Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters.

Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya

IEEE Control. Syst. Lett., 2021

Sparse Sensing and Optimal Precision: An Integrated Framework for H₂/H_∞ Optimal Observer Design.

Vedang M. Deshpande, Raktim Bhattacharya

IEEE Control. Syst. Lett., 2021

Sensor Selection and Optimal Precision in H₂/H_∞ Estimation Framework: Theory and Algorithms.

Vedang M. Deshpande, Raktim Bhattacharya

CoRR, 2021

Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty.

Vedang M. Deshpande, Raktim Bhattacharya

Proceedings of the 2021 American Control Conference, 2021

Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments.

Vedang M. Deshpande, Raktim Bhattacharya

Proceedings of the 2021 American Control Conference, 2021

2020

Sparse Sensing and Optimal Precision: Robust H_∞ Optimal Observer Design with Model Uncertainty.

Vedang M. Deshpande, Raktim Bhattacharya

CoRR, 2020

Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions.

Vedang M. Deshpande, Raktim Bhattacharya

CoRR, 2020

H2 Optimized PID Control of Quad-Copter Platform with Wind Disturbance.

Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya

CoRR, 2020

Kalman Filtering with Probabilistic Uncertainty in System Parameters.

Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya

CoRR, 2020

Sparse Sensing for H₂/H_∞ Optimal Observer Design with Bounded Errors.

Vedang M. Deshpande, Raktim Bhattacharya

CoRR, 2020

Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions.

Vedang M. Deshpande, Raktim Bhattacharya

Proceedings of the 2020 American Control Conference, 2020

2019

On Improved Statistical Accuracy of Low-Order Polynomial Chaos Approximations.

Vedang M. Deshpande, Raktim Bhattacharya

CoRR, 2019