Learning based Modelling of Throttleable Engine Dynamics for Lunar Landing Mission
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Suraj, Rallapalli, Aditya, GVP, Bharat Kumar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing
by: Kumar, Suraj, et al.
Published: (2026)
by: Kumar, Suraj, et al.
Published: (2026)
Decoupled Thrust-Axis Attitude Control Using Quaternions for Chandrayaan-3 Lunar Landing Mission
by: Rallapalli, Aditya, et al.
Published: (2026)
by: Rallapalli, Aditya, et al.
Published: (2026)
Analysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission
by: Rallapalli, Aditya, et al.
Published: (2025)
by: Rallapalli, Aditya, et al.
Published: (2025)
Powered Descent Trajectory Optimization of Chandrayaan-3 using Radau Collocation and Controllable Sets
by: Kumar, Suraj, et al.
Published: (2025)
by: Kumar, Suraj, et al.
Published: (2025)
Closed-Loop Control Law for Low Thrust Orbit Transfer with Guaranteed Stability
by: Kumar, Suraj, et al.
Published: (2025)
by: Kumar, Suraj, et al.
Published: (2025)
A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
by: Nath, Kamaljyoti, et al.
Published: (2024)
by: Nath, Kamaljyoti, et al.
Published: (2024)
A Supervised Machine-Learning Approach For Turboshaft Engine Dynamic Modeling Under Real Flight Conditions
by: Paniccia, Damiano, et al.
Published: (2025)
by: Paniccia, Damiano, et al.
Published: (2025)
Joint Learning of Linear Time-Invariant Dynamical Systems
by: Modi, Aditya, et al.
Published: (2021)
by: Modi, Aditya, et al.
Published: (2021)
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction
by: Kang, Beomseok, et al.
Published: (2024)
by: Kang, Beomseok, et al.
Published: (2024)
Bayesian Ambiguity Contraction-based Adaptive Robust Markov Decision Processes for Adversarial Surveillance Missions
by: Choi, Jimin, et al.
Published: (2025)
by: Choi, Jimin, et al.
Published: (2025)
Descriptive Model-based Learning and Control for Bipedal Locomotion
by: Kumar, Suraj, et al.
Published: (2025)
by: Kumar, Suraj, et al.
Published: (2025)
Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation
by: Zhao, Pan, et al.
Published: (2021)
by: Zhao, Pan, et al.
Published: (2021)
Agent-state based policies in POMDPs: Beyond belief-state MDPs
by: Sinha, Amit, et al.
Published: (2024)
by: Sinha, Amit, et al.
Published: (2024)
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models
by: Maddineni, Vinod Kumar, et al.
Published: (2024)
by: Maddineni, Vinod Kumar, et al.
Published: (2024)
Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
by: Sung, Minjun, et al.
Published: (2024)
by: Sung, Minjun, et al.
Published: (2024)
Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point
by: Barrett, Travis, et al.
Published: (2025)
by: Barrett, Travis, et al.
Published: (2025)
Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
by: Schenk, Christina, et al.
Published: (2024)
by: Schenk, Christina, et al.
Published: (2024)
Data-Based In-Cylinder Pressure Model with Cyclic Variations for Combustion Control: A RCCI Engine Application
by: Vlaswinkel, Maarten, et al.
Published: (2024)
by: Vlaswinkel, Maarten, et al.
Published: (2024)
Learning Exactly Linearizable Deep Dynamics Models
by: Moriyasu, Ryuta, et al.
Published: (2023)
by: Moriyasu, Ryuta, et al.
Published: (2023)
Vector preference-based contextual bandits under distributional shifts
by: Shukla, Apurv, et al.
Published: (2025)
by: Shukla, Apurv, et al.
Published: (2025)
From Flies to Robots: Inverted Landing in Small Quadcopters with Dynamic Perching
by: Habas, Bryan, et al.
Published: (2024)
by: Habas, Bryan, et al.
Published: (2024)
Koopman Eigenfunction-Based Identification and Optimal Nonlinear Control of Turbojet Engine
by: Grasev, David
Published: (2025)
by: Grasev, David
Published: (2025)
Koopman-Based Nonlinear Identification and Adaptive Control of a Turbofan Engine
by: Grasev, David
Published: (2026)
by: Grasev, David
Published: (2026)
Model approximation in MDPs with unbounded per-step cost
by: Bozkurt, Berk, et al.
Published: (2024)
by: Bozkurt, Berk, et al.
Published: (2024)
Adaptive Federated Learning via Dynamical System Model
by: Agarwal, Aayushya, et al.
Published: (2025)
by: Agarwal, Aayushya, et al.
Published: (2025)
Identifiable Representation and Model Learning for Latent Dynamic Systems
by: Zhang, Congxi, et al.
Published: (2024)
by: Zhang, Congxi, et al.
Published: (2024)
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications
by: Alami, Hassan El, et al.
Published: (2024)
by: Alami, Hassan El, et al.
Published: (2024)
Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization
by: Vlaswinkel, Maarten, et al.
Published: (2025)
by: Vlaswinkel, Maarten, et al.
Published: (2025)
Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2026)
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2026)
Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
by: Fatehi, Nina, et al.
Published: (2025)
by: Fatehi, Nina, et al.
Published: (2025)
Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
by: Li, Dan, et al.
Published: (2021)
by: Li, Dan, et al.
Published: (2021)
Hybrid LSTM-UKF Framework: Ankle Angle and Ground Reaction Force Estimation
by: Narasimhappa, Mundla, et al.
Published: (2026)
by: Narasimhappa, Mundla, et al.
Published: (2026)
FedECADO: A Dynamical System Model of Federated Learning
by: Agarwal, Aayushya, et al.
Published: (2024)
by: Agarwal, Aayushya, et al.
Published: (2024)
H-Infinity Filter Enhanced CNN-LSTM for Arrhythmia Detection from Heart Sound Recordings
by: Kumar, Rohith Shinoj, et al.
Published: (2025)
by: Kumar, Rohith Shinoj, et al.
Published: (2025)
A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources
by: Liu, Shaohui, et al.
Published: (2024)
by: Liu, Shaohui, et al.
Published: (2024)
Safely Learning Dynamical Systems
by: Ahmadi, Amir Ali, et al.
Published: (2023)
by: Ahmadi, Amir Ali, et al.
Published: (2023)
Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies
by: Kwon, Kyung-Bin, et al.
Published: (2025)
by: Kwon, Kyung-Bin, et al.
Published: (2025)
Dyna-Style Reinforcement Learning Modeling and Control of Non-linear Dynamics
by: Abdelsalam, Karim, et al.
Published: (2025)
by: Abdelsalam, Karim, et al.
Published: (2025)
Learning Dissipative Neural Dynamical Systems
by: Xu, Yuezhu, et al.
Published: (2023)
by: Xu, Yuezhu, et al.
Published: (2023)
GenTL: A General Transfer Learning Model for Building Thermal Dynamics
by: Raisch, Fabian, et al.
Published: (2025)
by: Raisch, Fabian, et al.
Published: (2025)
Similar Items
-
Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing
by: Kumar, Suraj, et al.
Published: (2026) -
Decoupled Thrust-Axis Attitude Control Using Quaternions for Chandrayaan-3 Lunar Landing Mission
by: Rallapalli, Aditya, et al.
Published: (2026) -
Analysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission
by: Rallapalli, Aditya, et al.
Published: (2025) -
Powered Descent Trajectory Optimization of Chandrayaan-3 using Radau Collocation and Controllable Sets
by: Kumar, Suraj, et al.
Published: (2025) -
Closed-Loop Control Law for Low Thrust Orbit Transfer with Guaranteed Stability
by: Kumar, Suraj, et al.
Published: (2025)