A data-dependent LMI feasibility problem synthesizes a feedback regulator that, together with an exosystem-based internal model, achieves asymptotic reference tracking and disturbance rejection for nonlinear systems with unknown matrices.
Formulas for data-driven control: Stabilization, optimality, and robustness,
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Data-driven nonlinear output regulation via data-enforced incremental passivity
A data-dependent LMI feasibility problem synthesizes a feedback regulator that, together with an exosystem-based internal model, achieves asymptotic reference tracking and disturbance rejection for nonlinear systems with unknown matrices.