Raktim Bhattacharya

Orcid: 0000-0002-8218-2631

According to our database1, Raktim Bhattacharya authored at least 79 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Guaranteed Robust Performance of $\mathcal {H}_{\infty }$ Filters With Sparse and Low Precision Sensing.
IEEE Trans. Autom. Control., February, 2024

Optimal State Estimation in the Presence of Non-Gaussian Uncertainty via Wasserstein Distance Minimization.
CoRR, 2024

A Convex Optimization Framework for Computing Robustness Margins of Kalman Filters.
CoRR, 2024

Quantifying Maximum Actuator Degradation for a Given H<sub>2</sub>/H<sub>∞</sub> Performance with Full-State Feedback Control.
CoRR, 2024

2023
Privacy-aware Gaussian Process Regression.
CoRR, 2023

2022
Optimal Sensor Precision for Multirate Sensing for Bounded Estimation Error.
IEEE Trans. Aerosp. Electron. Syst., 2022

Sensor Placement With Optimal Precision for Temperature Estimation of Battery Systems.
IEEE Control. Syst. Lett., 2022

2021
Privacy and Utility Aware Data Sharing for Space Situational Awareness From Ensemble and Unscented Kalman Filtering Perspective.
IEEE Trans. Aerosp. Electron. Syst., 2021

A unified framework to generate optimized compact finite difference schemes.
J. Comput. Phys., 2021

Robust Kalman Filtering With Probabilistic Uncertainty in System Parameters.
IEEE Control. Syst. Lett., 2021

Sparse Sensing and Optimal Precision: An Integrated Framework for H<sub>2</sub>/H<sub>∞</sub> Optimal Observer Design.
IEEE Control. Syst. Lett., 2021

Optimal Sensor Precision for Multi-Rate Sensing for Bounded Estimation Error.
CoRR, 2021

Optimal Transport Based Refinement of Physics-Informed Neural Networks.
CoRR, 2021

Sensor Selection and Optimal Precision in H<sub>2</sub>/H<sub>∞</sub> Estimation Framework: Theory and Algorithms.
CoRR, 2021

Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty.
Proceedings of the 2021 American Control Conference, 2021

Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments.
Proceedings of the 2021 American Control Conference, 2021

2020
Sparse Sensing and Optimal Precision: Robust H<sub>∞</sub> Optimal Observer Design with Model Uncertainty.
CoRR, 2020

A Lagrangian Method for Constrained Dynamics in Tensegrity Systems with Compressible Bars.
CoRR, 2020

Extended H2 Filtering for Attitude Estimation in Low Power Microprocessors.
CoRR, 2020

Modeling and Optimal Control of Hybrid UAVs with Wind Disturbance.
CoRR, 2020

Data Assimilation in Optimal Transport Framework.
CoRR, 2020

Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions.
CoRR, 2020

H2 Optimized PID Control of Quad-Copter Platform with Wind Disturbance.
CoRR, 2020

Kalman Filtering with Probabilistic Uncertainty in System Parameters.
CoRR, 2020

Sparse Sensing for H<sub>2</sub>/H<sub>∞</sub> Optimal Observer Design with Bounded Errors.
CoRR, 2020

Utility and Privacy in Object Tracking from Video Stream using Kalman Filter.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Robust LQR for Uncertain Discrete-Time Systems using Polynomial Chaos.
Proceedings of the 2020 American Control Conference, 2020

Nonlinear Attitude Estimation for Small UAVs with Low Power Microprocessors.
Proceedings of the 2020 American Control Conference, 2020

Surrogate Modeling of Dynamics From Sparse Data Using Maximum Entropy Basis Functions.
Proceedings of the 2020 American Control Conference, 2020

2019
STEDY: Software for TEnsegrity DYnamics.
J. Open Source Softw., 2019

A unified approach for deriving optimal finite differences.
J. Comput. Phys., 2019

On Improved Statistical Accuracy of Low-Order Polynomial Chaos Approximations.
CoRR, 2019

On the Uniqueness of Stationary Solutions of an Asynchronous Parallel and Distributed Algorithm for Diffusion Equations.
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

2017
ℋ2 optimal sensing architecture with model uncertainty.
Proceedings of the 2017 American Control Conference, 2017

Design of stochastic collocation based linear parameter varying quadratic regulator.
Proceedings of the 2017 American Control Conference, 2017

2016
Convergence Analysis of Asynchronous Consensus in Discrete-time Multi-agent Systems with Fixed Topology.
CoRR, 2016

A Relaxed Synchronization Approach for Solving Parallel Quadratic Programming Problems with Guaranteed Convergence.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

On the relaxed synchronization for massively parallel numerical algorithms.
Proceedings of the 2016 American Control Conference, 2016

2015
Nonlinear estimation with Perron-Frobenius operator and Karhunen-Loève expansion.
IEEE Trans. Aerosp. Electron. Syst., 2015

Stability analysis of large-scale distributed networked control systems with random communication delays: A switched system approach.
Syst. Control. Lett., 2015

Asynchronous Parallel Computing Algorithm implemented in 1D Heat Equation with CUDA.
CoRR, 2015

On the Convergence Analysis of Asynchronous Distributed Quadratic Programming via Dual Decomposition.
CoRR, 2015

Performance and robustness analysis of stochastic jump linear systems using Wasserstein metric.
Autom., 2015

A switched dynamical system framework for analysis of massively parallel asynchronous numerical algorithms.
Proceedings of the American Control Conference, 2015

A polynomial chaos framework for designing linear parameter varying control systems.
Proceedings of the American Control Conference, 2015

2014
Mean Square Stability for Stochastic Jump Linear Systems via Optimal Transport.
CoRR, 2014

Robustness Analysis of Stochastic Jumps and Design of Resource-Optimal Switching Policies for Cyber-Physical Systems.
CoRR, 2014

Optimal Switching Synthesis for Jump Linear Systems with Gaussian initial state uncertainty.
CoRR, 2014

A Probabilistic Method for Nonlinear Robustness Analysis of F-16 Controllers.
CoRR, 2014

Probabilistic model validation for uncertain nonlinear systems.
Autom., 2014

A dynamical system pair with identical first two moments but different probability densities.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Robust state feedback control design with probabilistic system parameters.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Probabilistic robustness analysis of stochastic jump linear systems.
Proceedings of the American Control Conference, 2014

Geodesic density tracking with applications to data driven modeling.
Proceedings of the American Control Conference, 2014

2013
Probabilistic robustness analysis of F-16 controller performance: An optimal transport approach.
Proceedings of the American Control Conference, 2013

Frequency domain model validation in Wasserstein metric.
Proceedings of the American Control Conference, 2013

Nonlinear filtering with transfer operator.
Proceedings of the American Control Conference, 2013

2012
Linear Receding Horizon Control with Probabilistic System Parameters.
Proceedings of the 7th IFAC Symposium on Robust Control Design, 2012

Further results on probabilistic model validation in Wasserstein metric.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Uncertainty quantification for stochastic nonlinear systems using Perron-Frobenius operator and Karhunen-Loève expansion.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
Model validation: A probabilistic formulation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Mathematical equations as executable models of mechanical systems.
Proceedings of the ACM/IEEE 1st International Conference on Cyber-Physical Systems, 2010

Direct optimal control and costate estimation using least square method.
Proceedings of the American Control Conference, 2010

Nonlinear estimation with polynomial chaos and higher order moment updates.
Proceedings of the American Control Conference, 2010

2009
Control in Computationally Constrained Environments.
IEEE Trans. Control. Syst. Technol., 2009

Motion Planning in Obstacle Rich Environments.
J. Aerosp. Comput. Inf. Commun., 2009

Robust Air-Traffic Control Using Ground-Delays and Rerouting of Flights.
J. Aerosp. Comput. Inf. Commun., 2009

Linear quadratic regulation of systems with stochastic parameter uncertainties.
Autom., 2009

Analysis of partial stability problems using sum of squares techniques.
Autom., 2009

2008
Stability analysis of stochastic systems using polynomial chaos.
Proceedings of the American Control Conference, 2008

On stochastic LQR design and polynomial chaos.
Proceedings of the American Control Conference, 2008

2007
Dynamics and Control of a Ground Effect Transportation System.
Proceedings of the American Control Conference, 2007

Construction of Lyapunov Certificates for Partial Stability Problems Using Sum of Squares Techniques.
Proceedings of the American Control Conference, 2007

Feedback Generation in Rendezvous Problems Using Synthetic Dynamics.
Proceedings of the American Control Conference, 2007

2006
Use of Parametric Approximation in Real-Time Nonlinear Trajectory Generation.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Nonlinear Trajectory Generation Using Global Local Approximations.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

OPTRAGEN: A MATLAB Toolbox for Optimal Trajectory Generation.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2004
Ellipsoidal cones and rendezvous of multiple agents.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2001
Nonlinear receding horizon control of F-16 aircraft.
Proceedings of the American Control Conference, 2001


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