A physics-informed neural networks–based adaptive control for a class of nonlinear systems with nonparametric uncertainties
Transactions of the Institute of Measurement and Control
Published online on August 17, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
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 ...
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 ...