研究人员开发出利用微分平坦性实现机器人系统 सम्यक् 学习控制器的 सम्यक् 方法

报道来源 [2]

1. arXiv cs.LG TIER_1 English(EN) · Tobias A. Farger, Adam W. Hall, Angela P. Schoellig · 2026-04-28 04:00

   利用微分平坦性实现约束多输入控制仿射系统的学习型模型预测控制

   arXiv:2604.24706v1 Announce Type: cross Abstract: Learning-based control techniques use data from past trajectories to control systems with uncertain dynamics. However, learning-based controllers are often computationally inefficient, limiting their practicality. To address this …

2. arXiv cs.LG TIER_1 English(EN) · Angela P. Schoellig · 2026-04-27 17:14

   利用微分平坦性实现受约束多输入控制仿射系统的学习型模型预测控制的效率

   Learning-based control techniques use data from past trajectories to control systems with uncertain dynamics. However, learning-based controllers are often computationally inefficient, limiting their practicality. To address this limitation, we propose a learning-based controller…