4 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…
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…
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
Donghe Chen, Han Wang, Lin Cheng +1
Reinforcement Learning (RL) has shown promise in control tasks but faces significant challenges in real-world applications, primarily due to the absence of safety guarantees during…
Recursive Gaussian Process State Space Model
Tengjie Zheng, Haipeng Chen, Lin Cheng +2
Learning dynamical models from data is not only fundamental but also holds great promise for advancing principle discovery, time-series prediction, and controller design. Among var…