Huai-Ze Zhao

Efficient Identification and High-Fidelity Extrapolation of the Parameters in LuGre Frictional Model at Rubber-Metal Interface Utilizing Machine Learning and Physics-Informed Prior Model with Limited Experimental Dataset

Accurate and efficient prediction of friction behavior at rubber-metal interfaces is essential for advanced robotic and mechanical systems, yet remains challenging due to nonlinear friction characteristics and limited experimental data. A framework integrating machine learning, optimization algorithms, and physics-pr...