10 papers
Submillisecond Sequential Convex Optimization for Powered Landing via Dynamics Condensation and xPIPG
Wenbo Li, Ziqi Xu, Dai Shen +1
Powered landing with variable mass, free final time, and quadratic aerodynamic drag requires the repeated solution of local convex subproblems, whose main online cost lies in the l…
Microsecond-Class Powered-Descent Optimization via Exact Condensation and Strong Convex Regularization
Wenbo Li, Ziqi Xu, Dai Shen +1
Fuel-dominant powered descent can be written as a convex program, but the usual full-state epigraph formulation still carries many state variables, fuel epigraph variables, and dyn…
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…