Vedang M. Deshpande
- Phone: 617-621-7548
- Email:
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Position:
Research / Technical Staff
Visiting Research Scientist -
Education:
Ph.D., Texas A&M University, 2022 -
Research Areas:
External Links:
Vedang's Quick Links
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Biography
Vedang's research interests are in nonlinear and robust estimation and control of uncertain dynamic systems. His doctoral research focused on developing theoretical frameworks and algorithms for designing sparse sensing and actuation architectures with optimal instrument precisions. Prior to his doctoral studies, Vedang worked full-time in software verification and validation group at Honeywell Aerospace.
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Internships with Vedang
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MS1957: Estimation and Model Structure Identification for Digital Twins
MERL is looking for a highly motivated and qualified candidate to work on estimation and model structure identification for digital twins of multi-physical systems. The research will involve study and development of white-box and grey-box model calibration and identification methods suitable for large-scale systems. The ideal candidate will have a strong background in one or multiple of the following topics: nonlinear estimation, model identification, optimization, data-driven and reduced order modeling, and machine learning; with expertise demonstrated via, e.g., peer-reviewed publications. Prior programming experience in Julia/Modelica is a plus. Senior PhD students in mechanical, electrical, chemical engineering or related fields are encouraged to apply. The typical duration of internship is 3 months and start date is flexible.
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MERL Publications
- , "Constrained Smoothers for State Estimation of Vapor Compression Cycles", American Control Conference (ACC), June 2022.BibTeX TR2022-063 PDF
- @inproceedings{Deshpande2022jun,
- author = {Deshpande, Vedang and Laughman, Christopher R. and Ma, Yingbo and Rackauckas, Chris},
- title = {Constrained Smoothers for State Estimation of Vapor Compression Cycles},
- booktitle = {American Control Conference (ACC)},
- year = 2022,
- month = jun,
- url = {https://www.merl.com/publications/TR2022-063}
- }
- , "Constrained Smoothers for State Estimation of Vapor Compression Cycles", American Control Conference (ACC), June 2022.
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Other Publications
- , "Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems", IEEE Control Systems Letters, Vol. 6, pp. 1082-1087, 2022.BibTeX
- @Article{deshpande2022battery,
- author = {Deshpande, Vedang M. and Bhattacharya, Raktim and Subbarao, Kamesh},
- title = {Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems},
- journal = {IEEE Control Systems Letters},
- year = 2022,
- volume = 6,
- pages = {1082--1087}
- }
- , "Sparse Sensing and Optimal Precision: An Integrated Framework for $H_2/H_infty$ Optimal Observer Design", IEEE Control Systems Letters, Vol. 5, No. 2, pp. 481-486, 2021.BibTeX
- @Article{deshpande2021h2hinf,
- author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
- title = {Sparse Sensing and Optimal Precision: An Integrated Framework for $H_2/H_infty$ Optimal Observer Design},
- journal = {IEEE Control Systems Letters},
- year = 2021,
- volume = 5,
- number = 2,
- pages = {481--486}
- }
- , "Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments", 2021 American Control Conference (ACC), 2021, pp. 1571-1576.BibTeX
- @Inproceedings{deshpande2021multiAgent,
- author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
- title = {Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments},
- booktitle = {2021 American Control Conference (ACC)},
- year = 2021,
- pages = {1571--1576}
- }
- , "Sparse Sensing and Optimal Precision: Robust $H_infty$ Optimal Observer Design with Model Uncertainty", 2021 American Control Conference (ACC), 2021, pp. 4105-4110.BibTeX
- @Inproceedings{deshpande2021robustHinf,
- author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
- title = {Sparse Sensing and Optimal Precision: Robust $H_infty$ Optimal Observer Design with Model Uncertainty},
- booktitle = {2021 American Control Conference (ACC)},
- year = 2021,
- pages = {4105--4110}
- }
- , "A unified framework to generate optimized compact finite difference schemes", Journal of Computational Physics, Vol. 432, pp. 110157, 2021.BibTeX External
- @Article{deshpande2021unified,
- author = {Deshpande, Vedang M. and Bhattacharya, Raktim and Donzis, Diego A.},
- title = {A unified framework to generate optimized compact finite difference schemes},
- journal = {Journal of Computational Physics},
- year = 2021,
- volume = 432,
- pages = 110157,
- url = {https://www.sciencedirect.com/science/article/pii/S0021999121000498}
- }
- , "Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters", IEEE Control Systems Letters, Vol. 5, No. 1, pp. 295-300, 2021.BibTeX
- @Article{kim2021robustKalman,
- author = {Kim, Sunsoo and Deshpande, Vedang M. and Bhattacharya, Raktim},
- title = {Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters},
- journal = {IEEE Control Systems Letters},
- year = 2021,
- volume = 5,
- number = 1,
- pages = {295--300}
- }
- , "Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions", 2020 American Control Conference (ACC), 2020, pp. 4046-4051.BibTeX
- @Inproceedings{deshpande2020maxent,
- author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
- title = {Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions},
- booktitle = {2020 American Control Conference (ACC)},
- year = 2020,
- pages = {4046--4051}
- }
- , "Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions", IFAC-PapersOnLine, Vol. 53, No. 2, pp. 7234-7239, 2020.BibTeX External
- @Article{deshpande2020maxentSDE,
- author = {Deshpande, Vedang M. and Bhattacharya, Raktim},
- title = {Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions},
- journal = {IFAC-PapersOnLine},
- year = 2020,
- volume = 53,
- number = 2,
- pages = {7234--7239},
- note = {21st IFAC World Congress},
- url = {https://www.sciencedirect.com/science/article/pii/S2405896320308557}
- }
- , "On Neural Network Training from Noisy Data using a Novel Filtering Framework", 2020, AIAA Scitech 2020 Forum.BibTeX External
- @Inbook{deshpande2020neural,
- author = {Deshpande, Vedang and Das, Niladri and Tadiparthi, Vaishnav and Bhattacharya, Raktim},
- title = {On Neural Network Training from Noisy Data using a Novel Filtering Framework},
- booktitle = {AIAA Scitech 2020 Forum},
- year = 2020,
- url = {https://arc.aiaa.org/doi/abs/10.2514/6.2020-1869}
- }
- , "$H_2$ Optimized PID Control of Quad-Copter Platform with Wind Disturbance", 2020 International Conference on Unmanned Aircraft Systems (ICUAS), 2020, pp. 839-844.BibTeX
- @Inproceedings{kim2020h2pid,
- author = {Kim, Sunsoo and Deshpande, Vedang and Bhattacharya, Raktim},
- title = {$H_2$ Optimized PID Control of Quad-Copter Platform with Wind Disturbance},
- booktitle = {2020 International Conference on Unmanned Aircraft Systems (ICUAS)},
- year = 2020,
- pages = {839--844}
- }
- , "Optimal-Transport-Based Tracking of Space Objects Using Range Data from a Single Ranging Station", Journal of Guidance, Control, and Dynamics, Vol. 42, No. 6, pp. 1237-1249, 2019.BibTeX External
- @Article{das2019otTracking,
- author = {Das, Niladri and Deshpande, Vedang and Bhattacharya, Raktim},
- title = {Optimal-Transport-Based Tracking of Space Objects Using Range Data from a Single Ranging Station},
- journal = {Journal of Guidance, Control, and Dynamics},
- year = 2019,
- volume = 42,
- number = 6,
- pages = {1237--1249},
- url = {https://doi.org/10.2514/1.G003796}
- }
- , "Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems", IEEE Control Systems Letters, Vol. 6, pp. 1082-1087, 2022.