Python Code and Data Supporting Chapter 4 of the PhD Thesis: Lyapunov Function-Guided Online Learning Flight Control

The dataset contains relevant Python code and supporting data in relation to CHAPTER4 of the thesis Safe and Sample Efficient Reinforcement Learning for Flight Control by Yifei Li (2026). The thesis aims to develop reliable and efficient online and offline RL algorithms for data-driven tracking control applications. This chapter concerns the effects of a Lyapunov function candidate on the cascaded online learning flight control. The code provides the simulation framework of the cascaded flight control system and visualization of using a Lyapunov function in policy learning. The PyTorch package serves as the main instrument for simulation. For more information, we refer to the respective thesis chapter.