A data-driven method embeds a p-copy internal model in a dynamic controller and uses a noise-robust SDP to synthesize gains that make the closed-loop exponentially contractive, ensuring almost periodic steady-state error with zero Fourier-Bohr coefficients at target frequencies and bounded residual
Data-driven nonlinear output regulation via data- enforced incremental passivity,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A semidefinite program solved on an auxiliary system built from noisy input-output data produces a controller that solves the output regulation problem for the original MIMO discrete-time linear system.
citing papers explorer
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Data-Driven Frequency-Selective Output Regulation of Nonlinear Systems under Almost Periodic Exosignals
A data-driven method embeds a p-copy internal model in a dynamic controller and uses a noise-robust SDP to synthesize gains that make the closed-loop exponentially contractive, ensuring almost periodic steady-state error with zero Fourier-Bohr coefficients at target frequencies and bounded residual
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Output regulation via input-output data
A semidefinite program solved on an auxiliary system built from noisy input-output data produces a controller that solves the output regulation problem for the original MIMO discrete-time linear system.