Controller Synthesis from Noisy-Input Noisy-Output Data
CoRR(2024)
摘要
We consider the problem of synthesizing a dynamic output-feedback controller
for a linear system, using solely input-output data corrupted by measurement
noise. To handle input-output data, an auxiliary representation of the original
system is introduced. By exploiting the structure of the auxiliary system, we
design a controller that robustly stabilizes all possible systems consistent
with data. Notably, we also provide a novel solution to extend the results to
generic multi-input multi-output systems. The findings are illustrated by
numerical examples.
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