Piloted Simulation-Based Assessment of Simplified Vehicle Operations for Urban Air Mobility
Improving Spacecraft Reliability Through Digital Transformation
Digital Twin Technologies for Autonomous Environmental Control and Life Support Systems
Autonomous Emergency Landing for Fixed-Wing Aircraft with Energy-Constrained Closed-Loop Prediction
Cooperative Mission Planning Using Rollout Policy Optimization
Automated One-Sided Learning Fault Detection System for Reaction Wheel Bearing Friction Anomalies
Deep Stochastic Optimal Control Policies for Planetary Soft Landing
Autonomous Small Body Science Operations Using Reinforcement Learning
Adaptive Weight Model Predictive Path Integral Control for Multiconstrained Missile Guidance
Spectral Shifted Stabilized Continuation for Indirect Optimal Control
Automated Processing Method for Chinese NOTAMs Based on Knowledge Graph
Vision-Based Marker-Less Landing of an Unmanned Aerial System on Moving Ground Vehicle
Leveraging Machine Learning to Improve Adaptive Primitive-Based Motion Planning
New Equilibria and Dynamic Structures Under Continuous Optimal Feedback Control
Small-Data-Driven Multitask Computational Guidance for Constrained Impact
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics
Rigid-Body Noncertainty Equivalence Adaptive Control on the Tangent Bundle of SE(3)
Attitude Takeover Control of Failed Spacecraft via Leader–Followers Adaptive Cooperative Game
Event-Triggered Model Predictive Control for Aero-Engine Transient-State Tracking Problems