Mrinal Kumar

Affiliations:
  • 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 31 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Dynamic Joint Probabilistic Data Association Framework for Target Tracking with Ground Robots.
Proceedings of the 2020 American Control Conference, 2020

Biased Kernel Density Estimators for Chance Constrained Optimal Control Problems.
Proceedings of the 2020 American Control Conference, 2020

Risk Aware SUAS Path Planning in an Unstructured Wildfire Environment.
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

Markovian Wildfire Modeling via Evidential Reasoning.
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
Uncertainty forecasting in the perturbed two-body problem via tensor decomposition.
Proceedings of the 2016 American Control Conference, 2016

2015
An information guided framework for simulated annealing.
J. Glob. Optim., 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

A novel approach to chance constrained optimal control problems.
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

A split-bernstein approach to chance constrained programs.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Beyond Monte Carlo for the initial uncertainty propagation problem.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A MCMC/Bernstein approach to chance constrained programs.
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
A comparative study of randomized algorithms for multidimensional integration.
Proceedings of the 15th International Conference on Information Fusion, 2012

An MCMC-based particle filter for multiple target tracking.
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

An information guided framework for simulated annealing.
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

A nonlinear filter based on Fokker Planck equation and MCMC measurement updates.
Proceedings of the 49th IEEE Conference on Decision and Control, 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
A quasi-Gaussian Kalman filter.
Proceedings of the American Control Conference, 2006


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