Mrinal Kumar

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 23

Top Topics

Tensor Decomposition

Chance Constrained

High Dimensional

Top Venues

J. Comput. Phys.

Publications

Indranil Nayak, Debdipta Goswami, Mrinal Kumar, Fernando L. Teixeira
Temporally-Consistent Koopman Autoencoders for Forecasting Dynamical Systems. CoRR (2024)
Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak, Suman Chakravorty, Mrinal Kumar
On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics. CoRR (2024)
Andrew W. Vanfossen, Mrinal Kumar
Efficient Adaptive Monte Carlo Uncertainty Forecasting for High Dimensional Nonlinear Dynamic Systems. IEEE Access 11 (2023)
Alexander A. Soderlund, Mrinal Kumar
Estimating the Spread of Wildland Fires via Evidence-Based Information Fusion. IEEE Trans. Control. Syst. Technol. 31 (2) (2023)
Pradhyumn Bhale, Mrinal Kumar, Amit K. Sanyal
Finite-time stable disturbance observer for unmanned aerial vehicles. ACC (2022)
Mrinal Kumar, Roger Williams, Amit K. Sanyal
Role of Autonomous Unmanned Aerial Systems in Prescribed Burn Projects. DDDAS (2022)
Indranil Nayak, Mrinal Kumar, Fernando L. Teixeira
Detection and prediction of equilibrium states in kinetic plasma simulations via mode tracking using reduced-order dynamic mode decomposition. J. Comput. Phys. 447 (2021)
Rachit Aggarwal, Alexander A. Soderlund, Mrinal Kumar, David J. Grymin
Risk Aware SUAS Path Planning in an Unstructured Wildfire Environment. ACC (2020)
Rachel E. Keil, Alexander Miller, Mrinal Kumar, Anil V. Rao
Biased Kernel Density Estimators for Chance Constrained Optimal Control Problems. ACC (2020)
Sriram Krishnaswamy, Shane Vitullo, Will Laidler, Mrinal Kumar
Dynamic Joint Probabilistic Data Association Framework for Target Tracking with Ground Robots. ACC (2020)
Meng Huang, Mrinal Kumar, Chao Yang
On the Optimal Condition for Battery Aging Assessment Based on an Electrochemical Model. ACC (2019)
Sriram Krishnaswamy, Mrinal Kumar
A Window-based Tensor Decomposition Approach to Data-Association for Multi Target Tracking. ACC (2019)
Chao Yang, Mrinal Kumar
Discrepancy Driven Adaptive Monte Carlo for Forward Uncertainty Forecasting in Nonlinear Dynamical Systems. ACC (2018)
Chao Yang, Mrinal Kumar
On the effectiveness of Monte Carlo for initial uncertainty forecasting in nonlinear dynamical systems. Autom. 87 (2018)
Alexander A. Soderlund, Mrinal Kumar
Markovian Wildfire Modeling via Evidential Reasoning. CDC (2018)
Chao Yang, Mrinal Kumar
On the transient performance of Monte Carlo simulations for initial uncertainty forecasting. CDC (2017)
Yifei Sun, Mrinal Kumar
Uncertainty forecasting in the perturbed two-body problem via tensor decomposition. ACC (2016)
Yifei Sun, Mrinal Kumar
A numerical solver for high dimensional transient Fokker-Planck equation in modeling polymeric fluids. J. Comput. Phys. 289 (2015)
Chao Yang, Mrinal Kumar
An information guided framework for simulated annealing. J. Glob. Optim. 62 (1) (2015)
Yifei Sun, Mrinal Kumar
Solution of high dimensional transient Fokker-Planck equations by tensor decomposition. ACC (2015)
Yifei Sun, Mrinal Kumar
Nonlinear Bayesian filtering based on Fokker-Planck equation and tensor decomposition. FUSION (2015)
Zinan Zhao, Fengjin Liu, Mrinal Kumar, Anil V. Rao
A novel approach to chance constrained optimal control problems. ACC (2015)
Chao Yang, Kevin Buck, Mrinal Kumar
An evaluation of Monte Carlo for nonlinear initial uncertainty propagation in Keplerian mechanics. FUSION (2015)
Chao Yang, Mrinal Kumar
Beyond Monte Carlo for the initial uncertainty propagation problem. CDC (2014)
Zinan Zhao, Mrinal Kumar
A MCMC/Bernstein approach to chance constrained programs. ACC (2014)
Yifei Sun, Mrinal Kumar
Numerical solution of high dimensional stationary Fokker-Planck equations via tensor decomposition and Chebyshev spectral differentiation. Comput. Math. Appl. 67 (10) (2014)
Zinan Zhao, Mrinal Kumar
A split-bernstein approach to chance constrained programs. CDC (2014)
Yifei Sun, Mrinal Kumar
A tensor decomposition approach to high dimensional stationary Fokker-Planck equations. ACC (2014)
Zinan Zhao, Mrinal Kumar
An MCMC-based particle filter for multiple target tracking. FUSION (2012)
Yifei Sun, Mrinal Kumar
A meshless p-PUFEM Fokker-Planck equation solver with automatic boundary condition enforcement. ACC (2012)
Mrinal Kumar
An information guided framework for simulated annealing. ACC (2012)
Zinan Zhao, Mrinal Kumar
A comparative study of randomized algorithms for multidimensional integration. FUSION (2012)
Amanda Kathryn Lampton, John Valasek, Mrinal Kumar
Multi-resolution state-space discretization for Q-Learning with pseudo-randomized discretization. IJCNN (2010)
Mrinal Kumar, Suman Chakravorty
A nonlinear filter based on Fokker Planck equation and MCMC measurement updates. CDC (2010)
Mrinal Kumar, Suman Chakravorty
A nonlinear filter based on Fokker-Planck equation. ACC (2010)
Mrinal Kumar, Suman Chakravorty, John L. Junkins
A semianalytic meshless approach to the Fokker-Planck equation with application to hybrid systems. CDC (2007)
Mrinal Kumar, Suman Chakravorty, John L. Junkins
A Homotopic Approach to Domain Determination and Solution Refinement for the Fokker-Planck Equation. ACC (2007)
Suman Chakravorty, Mrinal Kumar, Puneet Singla
A quasi-Gaussian Kalman filter. ACC (2006)