Furuta Pendulum

该数据集涉及一个用于Furuta摆系统的控制器，旨在通过模拟和硬件实验测试鲁棒性策略。该数据集包含了动态模型以及基于增量光学编码器测量的角度位置和速度的控制器性能指标。规模属于小型，任务是对强化学习中的鲁棒策略进行优化。

This dataset centers on a controller for the Furuta pendulum system, which is designed to test robust strategies through both simulation and hardware experiments. It includes dynamic models and controller performance metrics based on angular position and velocity measured by incremental optical encoders. This is a small-scale dataset, and its task is to optimize robust strategies in reinforcement learning.