| Robust Kalman filtering with probabilistic uncertainty in system parameters S Kim, VM Deshpande, R Bhattacharya IEEE Control Systems Letters 5 (1), 295-300, 2020 | 15 | 2020 |
| 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 | 15 | 2019 |
| 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 | 10 | 2020 |
| A unified framework to generate optimized compact finite difference schemes VM Deshpande, R Bhattacharya, DA Donzis Journal of Computational Physics 432, 110157, 2021 | 7 | 2021 |
| Constrained Smoothers for State Estimation of Vapor Compression Cycles VM Deshpande, CR Laughman, Y Ma, C Rackauckas 2022 American Control Conference (ACC), 2333-2340, 2022 | 6 | 2022 |
| Sensor placement with optimal precision for temperature estimation of battery systems VM Deshpande, R Bhattacharya, K Subbarao IEEE Control Systems Letters 6, 1082-1087, 2021 | 6 | 2021 |
| ℋ2 Optimized PID Control of Quad-Copter Platform with Wind Disturbance S Kim, V Deshpande, R Bhattacharya 2020 International Conference on Unmanned Aircraft Systems (ICUAS), 839-844, 2020 | 5 | 2020 |
| 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 | 4 | 2021 |
| Surrogate modeling of dynamics from sparse data using maximum entropy basis functions VM Deshpande, R Bhattacharya 2020 American Control Conference (ACC), 4046-4051, 2020 | 3 | 2020 |
| On improved statistical accuracy of low-order polynomial chaos approximations VM Deshpande, R Bhattacharya arXiv preprint arXiv:1909.03516, 2019 | 3 | 2019 |
| Sensor Selection and Optimal Precision in Estimation Framework: Theory and Algorithms VM Deshpande, R Bhattacharya arXiv preprint arXiv:2103.00750, 2021 | 2 | 2021 |
| Guaranteed Robust Performance of H Filters With Sparse and Low Precision Sensing VM Deshpande, R Bhattacharya IEEE Transactions on Automatic Control 69 (2), 1029-1036, 2024 | 1 | 2024 |
| Learning residual dynamics via physics-augmented neural networks: Application to vapor compression cycles R Chinchilla, VM Deshpande, A Chakrabarty, CR Laughman 2023 American Control Conference (ACC), 4069-4076, 2023 | 1 | 2023 |
| Digital Twins for Vapor Compression Cycles: Challenges &Opportunities CR Laughman, VM Deshpande, H Qiao, SA Bortoff, A Chakrabarty | 1 | 2023 |
| Multi-pass Extended Kalman Smoother with Partially-known Constraints for Estimation of Vapor Compression Cycles VM Deshpande, CR Laughman | 1 | 2023 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| System and Method for Monitoring an Operation of a Vapor Compression Cycle C Laughman, V Deshpande US Patent App. 18/063,974, 2023 | | 2023 |
| Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States VM Deshpande, A Chakrabarty, AP Vinod, CR Laughman IEEE Control Systems Letters 7, 3483-3488, 2023 | | 2023 |
| Guaranteed Robust Performance of Filters With Sparse and Low Precision Sensing VM Deshpande, R Bhattacharya IEEE Transactions on Automatic Control, 2023 | | 2023 |
Raktim BhattacharyaProfessor of Aerospace Engineering, Texas A&MVerified email at tamu.edu
