A PINN approximates the zero-error manifold and feedforward input for nonlinear output regulation, generalizing across varying exosystem conditions.
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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.