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20132026
most citedFeedback Motion Planning Under Non-Gaussian Uncertainty and Non-Convex State Constraints

16 citations · 89 across the 50 of their papers we have counts for

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10 papers · 1 filter

math.OC2026

Box-iLQR: Constraint-Aware Feedback via Finite-Barrier Trajectory Optimization

Abhijeet, Suman Chakravorty

Iterative Linear Quadratic Regulator (iLQR) and Differential Dynamic Programming (DDP) are attractive trajectory-optimization methods because their backward recursions provide both…

math.OC2026

An Efficient iLQR Algorithm for Optimal Control with Bounded States and Inputs: Application to Spacecraft Maneuvers

Abhijeet, Suman Chakravorty

This paper presents a constrained iterative Linear Quadratic Regulator (Box-iLQR) method for nonlinear aerospace optimal-control problems with bounded states and controls. Logarith…

math.DS2026

Refining GLSDC for Orbit Determination

Abhijeet, Raja Abhishek Appana, Mrinal Kumar +1

This paper investigates the ambiguity of noisy short-arc angles-only orbit determination for a Molniya-orbit case study. Conventional Gauss Initial Orbit Determination followed by…

eess.SY2026

A Two-Stage, Model-Based Reinforcement Learning Approach for Active Flow Control of Bluff Body Wakes

Aayushman Sharma, Suman Chakravorty

This paper develops a data-driven, output-feedback approach to the infinite-horizon optimal control of high-dimensional nonlinear systems with unknown and unstable equilibria, usin…

astro-ph.EP2026

Hybrid Particle Gaussian Mixture (H-PGM) Solution for Cislunar Target Tracking

Ishan Paranjape, Tarun Hejmadi, Utkarsh Ranjan Mishra +1

Gauss's method of orbit determination (OD) is one of the most popular, minimal assumption target tracking techniques in astrodynamics, especially for generating an initial state es…

math.OC2026

A Sequential Quadratic Programming Perspective on Optimal Control

Abhijeet, Suman Chakravorty

This paper investigates the performance of Newton's method, iterative Linear Quadratic Regulator (iLQR), and Differential Dynamic Programming (DDP) in solving discrete-time optimal…

eess.SY2026

State Forecasting in an Estimation Framework with Surrogate Sensor Modeling

Sriram Narayanan, Mohamed Naveed Gul Mohamed, Ishan Paranjape +3

In recent years, computational power and data availability breakthroughs have revolutionized our ability to analyze complex physical systems through the inverse problem approach. D…

stat.AP2026

A Hybrid Particle Gaussian Mixture Filtering Method for Cislunar Orbit Determination Under Extreme Uncertainty

Ishan Paranjape, Tarun Hejmadi, Utkarsh Ranjan Mishra +1

Gauss's method of orbit determination (OD) and its variants are among the most popular initial state estimation techniques for astronomers and engineers alike. However, owing to it…

astro-ph.EP2026

Probabilistic Methods for Initial Orbit Determination and Orbit Determination in Cislunar Space

Ishan Paranjape, Tarun Hejmadi, Suman Chakravorty

In orbital mechanics, Gauss's method for orbit determination (OD) is a popular, minimal assumption solution for obtaining the initial state estimate of a passing resident space obj…

math.OC2026

Safe Optimal Control using Log Barrier Constrained iLQR

Abhijeet, Suman Chakravorty

This paper presents a constrained iterative Linear Quadratic Regulator (iLQR) framework for nonlinear optimal control problems with box constraints on both states and control input…