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…
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…
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…