most citedAnalysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

eess.SY2025

Closed-Loop Control Law for Low Thrust Orbit Transfer with Guaranteed Stability

Suraj Kumar, Aditya Rallapalli, Nivriti Priyadarshini +2

Electric propulsion is used to maximize payload capacity in communication satellites. These orbit raising maneuvers span several months and hundreds of revolutions, making trajecto…

eess.SY2025

Powered Descent Trajectory Optimization of Chandrayaan-3 using Radau Collocation and Controllable Sets

Suraj Kumar, Aditya Rallapalli, Ashok Kumar Kakula +1

India achieved a significant milestone on August 2023, becoming the fourth country to accomplish a soft landing on the Moon. This paper presents the powered descen…

eess.SY20251 cited

Analysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission

Aditya Rallapalli, Suraj Kumar, Rijesh MP +2

Recent successful lunar landing missions have generated significant interest among space agencies in establishing a permanent human settlement on the Moon. Building a lunar base re…

eess.SY2025

Solving Infinite-Horizon Optimal Control Problems using the Extreme Theory of Functional Connections

Tanay Raghunandan Srinivasa, Suraj Kumar

This paper presents a physics-informed machine learning approach for synthesizing optimal feedback control policy for infinite-horizon optimal control problems by solving the Hamil…

eess.SY2025

Learning based Modelling of Throttleable Engine Dynamics for Lunar Landing Mission

Suraj Kumar, Aditya Rallapalli, Bharat Kumar GVP

Typical lunar landing missions involve multiple phases of braking to achieve soft-landing. The propulsion system configuration for these missions consists of throttleable engines.…

cs.RO2025

Descriptive Model-based Learning and Control for Bipedal Locomotion

Suraj Kumar, Andy Ruina

Bipedal balance is challenging due to its multi-phase, hybrid nature and high-dimensional state space. Traditional balance control approaches for bipedal robots rely on low-dimensi…