A PINN approximates the zero-error manifold and feedforward input for nonlinear output regulation, generalizing across varying exosystem conditions.
An approximation method for the nonlinear servomechanism problem
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Physics-Informed Neural Networks for Nonlinear Output Regulation
A PINN approximates the zero-error manifold and feedforward input for nonlinear output regulation, generalizing across varying exosystem conditions.