Controller synthesis for input-state data with measurement errors
<|reference_start|>Controller synthesis for input-state data with measurement errors: We consider the problem of designing a state-feedback controller for a linear system, based only on noisy input-state data. We focus on input-state data corrupted by measurement errors, which, albeit less investigated, are as relevant as process disturbances in applications. For energy and instantaneous bounds on these measurement errors, we derive linear matrix inequalities for controller design where the one for the energy bound is equivalent to robust stabilization of all systems consistent with the noisy data points via a common Lyapunov function.<|reference_end|>
@article{bisoffi2024controller,
    title={Controller synthesis for input-state data with measurement errors},
    author={Andrea Bisoffi, Lidong Li, Claudio De Persis, Nima Monshizadeh},
    journal={arXiv preprint arXiv:2402.04157},
    year={2024},
    doi={10.1109/LCSYS.2024.3402135},
    archivePrefix={arXiv},
    eprint={2402.04157},
    primaryClass={eess.SY cs.SY math.DS math.OC}
}