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

   Exploiting Differential Flatness for Efficient Learning-based Model Predictive Control of Constrained Multi-Input Control Affine Systems

   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

   Exploiting Differential Flatness for Efficient Learning-based Model Predictive Control of Constrained Multi-Input Control Affine Systems

   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…