On Improved Statistical Accuracy of Low-Order Polynomial Chaos Approximations. - Vedang M. Deshpande; Raktim Bhattacharya (CoRR, 2019)

Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions. - Vedang M. Deshpande; Raktim Bhattacharya (ACC, 2020)

Sparse Sensing for H2/H∞ Optimal Observer Design with Bounded Errors. - Vedang M. Deshpande; Raktim Bhattacharya (CoRR, 2020)

Kalman Filtering with Probabilistic Uncertainty in System Parameters. - Sunsoo Kim; 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)

Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions. - Vedang M. Deshpande; Raktim Bhattacharya (CoRR, 2020)

Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty. - Vedang M. Deshpande; Raktim Bhattacharya (CoRR, 2020)

Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments. - Vedang M. Deshpande; Raktim Bhattacharya (ACC, 2021)

Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty. - Vedang M. Deshpande; Raktim Bhattacharya (ACC, 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: An Integrated Framework for H2/H∞ Optimal Observer Design. - Vedang M. Deshpande; Raktim Bhattacharya (IEEE Control. Syst. Lett., 2021)

Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters. - Sunsoo Kim; Vedang M. Deshpande; Raktim Bhattacharya (IEEE Control. Syst. Lett., 2021)

A unified framework to generate optimized compact finite difference schemes. - Vedang M. Deshpande; Raktim Bhattacharya; Diego A. Donzis (J. Comput. Phys., 2021)

Constrained Smoothers for State Estimation of Vapor Compression Cycles. - Vedang M. Deshpande; Christopher R. Laughman; Yingbo Ma; Chris Rackauckas (ACC, 2022)

Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems. - Vedang M. Deshpande; Raktim Bhattacharya; Kamesh Subbarao (IEEE Control. Syst. Lett., 2022)

Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles. - Raphael Chinchilla; Vedang M. Deshpande; Ankush Chakrabarty; Christopher R. Laughman (ACC, 2023)

Spectrum Sharing-Inspired Safe Motion Planning. - Kyeong Jin Kim; Abraham P. Vinod; Jianlin Guo; Vedang M. Deshpande; Kieran Parsons; Ye Wang 001 (ICC Workshops, 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)

Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing. - Iman Askari; Yebin Wang; Vedang M. Deshpande; Huazhen Fang (ACC, 2024)

Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks. - Ankush Chakrabarty; Luigi Vanfretti; Wei-Ting Tang; Joel A. Paulson; Sicheng Zhan; Scott A. Bortoff; Vedang M. Deshpande; Ye Wang 001; Christopher R. Laughman (CCTA, 2024)

Physics-Constrained Meta-Learning for Online Adaptation and Estimation in Positioning Applications. - Ankush Chakrabarty; Vedang M. Deshpande; Gordon Wichern; Karl Berntorp (CDC, 2024)

ℋ2/ℋ∞ Optimal Control with Sparse Sensing and Actuation. - Vedang M. Deshpande; Raktim Bhattacharya (CoRR, 2024)

Guaranteed Robust Performance of $ mathcal {H}_{ infty }$ Filters With Sparse and Low Precision Sensing. - Vedang M. Deshpande; Raktim Bhattacharya (IEEE Trans. Autom. Control., 2024)

Dynamic Sensor Scheduling for Spatio-Temporal Monitoring of Water Bodies. - Vedang M. Deshpande; Abraham P. Vinod (CCTA, 2025)

Meta-learning for physically-constrained neural system identification. - Ankush Chakrabarty; Gordon Wichern; Vedang M. Deshpande; Abraham P. Vinod; Karl Berntorp; Christopher R. Laughman (Neurocomputing, 2025)

H2/H∞ state and output feedback control with sparse actuation. - Vedang M. Deshpande; Raktim Bhattacharya (Autom., 2026)