Na Sun

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

The core innovation lies in using the physics-informed neural networks mechanism to estimate the nonparametric uncertainty by embedding the system dynamics as a constraint in the loss function, ensuring physically consistent and highly generalizable uncertainty estimation even with sparse data.