2 citations · 3 across the 5 of their papers we have counts for
5 papers
Machine Learning-based Online Stability Lobe Diagram Estimation and Chatter Suppression Control in Milling Process
Yi Huang, Feng Han, Wenyi Liu +2
Chatter is a self-excited vibration in milling that degrades surface quality and accelerates tool wear. This paper presents an adaptive process controller that suppresses chatter b…
Gaussian Process-Based Learning Control of Underactuated Balance Robots with an External and Internal Convertible Modeling Structure
Feng Han, Jingang Yi
External and internal convertible (EIC) form-based motion control is one of the effective designs of simultaneously trajectory tracking and balance for underactuated balance robots…
A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements
Mason Ma, Jiajie Wu, Chase Post +4
This study presents a physics-informed machine learning-based control method for nonlinear dynamic systems with highly noisy measurements. Existing data-driven control methods that…
Cascaded Nonlinear Control Design for Highly Underactuated Balance Robots
Feng Han, Jingang Yi
This paper presents a nonlinear control design for highly underactuated balance robots, which possess more numbers of unactuated degree-of-freedom (DOF) than actuated ones. To addr…
Gaussian Process-Enhanced, External and Internal Convertible (EIC) Form-Based Control of Underactuated Balance Robots
Feng Han, Jingang Yi
External and internal convertible (EIC) form-based motion control (i.e., EIC-based control) is one of the effective approaches for underactuated balance robots. By sequentially con…