3 papers
cs.RO2026
L-Learning : A Lyapunov-Based Approach Leveraging Lagrangian Mechanics for Efficient and Stable Robot Tracking
Quan Quan, Hao Li
This paper presents L-Learning, a novel data-driven control framework for robotics that integrates Lyapunov stability theory with Lagrangian mechanics to enhance trajectory trackin…
eess.SY2026
Handling Control System Uncertainty
Hao Li
Control science is a core representative of the third industrial revolution and is so important to modern civilization. Control systems are the main subject of control science and…
eess.SY2026
State Estimation
Hao Li
Control science is a core representative of the third industrial revolution and is so important to modern civilization. Control systems are the main subject of control science and…