Kun Liang

A physics-informed neural networks–based adaptive control for a class of nonlinear systems with nonparametric uncertainties

This article addresses the trajectory tracking control problem for a class of nonlinear systems subject to nonparametric uncertainties. Traditional adaptive methods struggle with such uncertainties due to inadequate regression models, while conventional black-box neural networks suffer from poor generalization and phys...