Mrinal Kumar
Orcid: 0000-0001-9747-9449Affiliations:
- Ohio State University, Department of Mechanical and Aerospace University, Columbus, OH, USA
- University of Florida, Gainesville, Department of Mechanical and Aerospace Engineering, FL, USA (2010 - 2016)
- Texas A&M University, Department of Aerospace Engineering, College Station, TX, USA (PhD 2009)
According to our database1,
Mrinal Kumar
authored at least 39 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on linkedin.com
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on mae.osu.edu
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Bibliography
2024
CoRR, 2024
On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics.
CoRR, 2024
2023
IEEE Trans. Control. Syst. Technol., March, 2023
Efficient Adaptive Monte Carlo Uncertainty Forecasting for High Dimensional Nonlinear Dynamic Systems.
IEEE Access, 2023
2022
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022
Proceedings of the American Control Conference, 2022
2021
Detection and prediction of equilibrium states in kinetic plasma simulations via mode tracking using reduced-order dynamic mode decomposition.
J. Comput. Phys., 2021
2020
Dynamic Joint Probabilistic Data Association Framework for Target Tracking with Ground Robots.
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
A Window-based Tensor Decomposition Approach to Data-Association for Multi Target Tracking.
Proceedings of the 2019 American Control Conference, 2019
On the Optimal Condition for Battery Aging Assessment Based on an Electrochemical Model.
Proceedings of the 2019 American Control Conference, 2019
2018
Optimization of Multi-target Tracking Within a Sensor Network Via Information Guided Clustering.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
On the effectiveness of Monte Carlo for initial uncertainty forecasting in nonlinear dynamical systems.
Autom., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Discrepancy Driven Adaptive Monte Carlo for Forward Uncertainty Forecasting in Nonlinear Dynamical Systems.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
On the transient performance of Monte Carlo simulations for initial uncertainty forecasting.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Proceedings of the 2016 American Control Conference, 2016
2015
A numerical solver for high dimensional transient Fokker-Planck equation in modeling polymeric fluids.
J. Comput. Phys., 2015
An evaluation of Monte Carlo for nonlinear initial uncertainty propagation in Keplerian mechanics.
Proceedings of the 18th International Conference on Information Fusion, 2015
Nonlinear Bayesian filtering based on Fokker-Planck equation and tensor decomposition.
Proceedings of the 18th International Conference on Information Fusion, 2015
Proceedings of the American Control Conference, 2015
Solution of high dimensional transient Fokker-Planck equations by tensor decomposition.
Proceedings of the American Control Conference, 2015
2014
Numerical solution of high dimensional stationary Fokker-Planck equations via tensor decomposition and Chebyshev spectral differentiation.
Comput. Math. Appl., 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014
A tensor decomposition approach to high dimensional stationary Fokker-Planck equations.
Proceedings of the American Control Conference, 2014
2012
Proceedings of the 15th International Conference on Information Fusion, 2012
Proceedings of the 15th International Conference on Information Fusion, 2012
A meshless p-PUFEM Fokker-Planck equation solver with automatic boundary condition enforcement.
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
2010
Multi-resolution state-space discretization for Q-Learning with pseudo-randomized discretization.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the American Control Conference, 2010
2007
A semianalytic meshless approach to the Fokker-Planck equation with application to hybrid systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
A Homotopic Approach to Domain Determination and Solution Refinement for the Fokker-Planck Equation.
Proceedings of the American Control Conference, 2007
2006