8 papers
Parameter Optimization in Trajectory Planning via Differentiable Convex Programming
Ziqi Xu, Lin Cheng, Di Wu +1
Sequential convex programming has been established as an effective framework for solving nonconvex trajectory planning problems. However, its performance is highly sensitive to pro…
Deep Neural Network-Based High-Precision Identification of Weak Stability Boundary Structures
Shuyue Fu, Ziqi Xu, Di Wu +1
Weak stability boundary structures have been widely applied to the analysis on ballistic capture and the construction of low-energy transfers. The first step of this application is…
Sparse Kalman Identification for Partially Observable Systems via Adaptive Bayesian Learning
Jilan Mei, Tengjie Zheng, Lin Cheng +2
Sparse dynamics identification is an essential tool for discovering interpretable physical models and enabling efficient control in engineering systems. However, existing methods r…
Recursive Inference for Heterogeneous Multi-Output GP State-Space Models with Arbitrary Moment Matching
Tengjie Zheng, Jilan Mei, Di Wu +2
Accurate learning of system dynamics is becoming increasingly crucial for advanced control and decision-making in engineering. However, real-world systems often exhibit multiple ch…
Learning-Based Stable Optimal Control for Infinite-Time Nonlinear Regulation Problems
Han Wang, Di Wu, Lin Cheng +2
Infinite-time nonlinear optimal regulation control is widely utilized in aerospace engineering as a systematic method for synthesizing stable controllers. However, conventional met…
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression
Han Wang, Donghe Chen, Tengjie Zheng +2
Modern aerospace guidance systems demand rigorous constraint satisfaction, optimal performance, and computational efficiency. Traditional analytical methods struggle to simultaneou…