A Gaussian-process-based hybrid internal model regulator learns the steady-state control map online and is claimed to achieve practical output regulation for a class of nonlinear systems.
Output stabilization via nonlinear luenberger observers,
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Data-Driven Nonlinear Regulation: Gaussian Process Learning
A Gaussian-process-based hybrid internal model regulator learns the steady-state control map online and is claimed to achieve practical output regulation for a class of nonlinear systems.