16 citations · 89 across the 50 of their papers we have counts for
55 papers
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Optimal Control with Lyapunov Stability Guarantees for Space Applications
Abhijeet, Mohamed Naveed Gul Mohamed, Aayushman Sharma +1
This paper investigates the infinite horizon optimal control problem (OCP) for space applications characterized by nonlinear dynamics. The proposed approach divides the problem int…
A Sequential Quadratic Programming Perspective on Optimal Control
Abhijeet, Suman Chakravorty
This paper offers a unified perspective on different approaches to the solution of optimal control problems through the lens of constrained sequential quadratic programming. In par…
Sensor Fusion Methods for Gaussian Mixture Models
Ishan Paranjape, Islam Hussein, Jeremy Murray-Krezan +2
Consensus is a popular technique for distributed state estimation. This formulation allows networks of connected agents or sensors to exchange information about the distribution of…
A Reduced Order Iterative Linear Quadratic Regulator (ILQR) Technique for the Optimal Control of Nonlinear Partial Differential Equations
Aayushman Sharma, Suman Chakravorty
In this paper, we introduce a reduced order model-based reinforcement learning (MBRL) approach, utilizing the Iterative Linear Quadratic Regulator (ILQR) algorithm for the optimal…
Time-delayed Dynamic Mode Decomposition for families of periodic trajectories in Cislunar Space
Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak +2
In recent years, the development of the Lunar Gateway and Artemis missions has renewed interest in lunar exploration, including both manned and unmanned missions. This interest nec…
Convexity in Optimal Control Problems
Abhijeet, Mohamed Naveed Gul Mohamed, Aayushman Sharma +1
This paper investigates the central role played by the Hamiltonian in continuous-time nonlinear optimal control problems. We show that the strict convexity of the Hamiltonian in th…
An Optimal Solution to Infinite Horizon Nonholonomic and Discounted Nonlinear Control Problems
Mohamed Naveed Gul Mohamed, Abhijeet, Aayushman Sharma +2
This paper considers the infinite horizon optimal control problem for nonlinear systems. Under the condition of nonlinear controllability of the system to any terminal set containi…
On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics
Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak +2
This paper discusses the predictive capability of Dynamic Mode Decomposition (DMD) in the context of orbital mechanics. The focus is specifically on the Hankel variant of DMD which…
Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator
Ran Wang, Raman Goyal, Suman Chakravorty
This paper studies the learning-to-control problem under process and sensing uncertainties for dynamical systems. In our previous work, we developed a data-based generalization of…
On Data-Driven Model Identification for Nonlinear Optimal Control
Aayushman Sharma, Suman Chakravorty
In this paper, we study the use of nonlinear model identification techniques for the optimal control of nonlinear systems, also known as model-based Reinforcement Learning. We show…
An Optimal Solution to Infinite Horizon Nonlinear Control Problems
Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty
In this paper, we consider the infinite horizon optimal control problem for nonlinear systems. Under the conditions of controllability of the linearized system around the origin, a…
An Information-State Based Approach to Linear Time Varying System Identification and Control
Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty +1
This paper considers the problem of system identification for linear time varying systems. We propose a new system realization approach that uses an "information-state" as the stat…
Optimal Control of Material Micro-Structures
Aayushman Sharma, Zirui Mao, Haiying Yang +3
In this paper, we consider the optimal control of material micro-structures. Such material micro-structures are modeled by the so-called phase field model. We study the underlying…
An Information-state based Approach to the Optimal Output Feedback Control of Nonlinear Systems
Raman Goyal, Ran Wang, Mohamed Naveed Gul Mohamed +2
This paper develops a data-based approach to the closed-loop output feedback control of nonlinear dynamical systems with a partial nonlinear observation model. We propose an inform…