Derives tractable LMI conditions for data informativity under a generalized data-perturbation noise model for state-feedback stabilization and performance as well as output-feedback stabilization.
A behavioral approach to data-driven control with noisy input-output data,
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Data Informativity under Data Perturbation
Derives tractable LMI conditions for data informativity under a generalized data-perturbation noise model for state-feedback stabilization and performance as well as output-feedback stabilization.