A data-driven internal model controller achieves zero or kth-order asymptotic output regulation for unknown linear, nonlinear, and multi-agent systems without solving regulation equations.
The internal model principle of control theory,
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Data-driven Internal Model Control for Output Regulation
A data-driven internal model controller achieves zero or kth-order asymptotic output regulation for unknown linear, nonlinear, and multi-agent systems without solving regulation equations.