Controller Synthesis from Noisy-Input Noisy-Output Data
<|reference_start|>Controller Synthesis from Noisy-Input Noisy-Output Data: 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.<|reference_end|>
@article{li2024controller,
    title={Controller Synthesis from Noisy-Input Noisy-Output Data},
    author={Lidong Li, Andrea Bisoffi, Claudio De Persis, Nima Monshizadeh},
    journal={arXiv preprint arXiv:2402.02588},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.02588},
    primaryClass={eess.SY cs.LG cs.SY}
}