Encrypted Data-driven Predictive Cloud Control with Disturbance Observer. (arXiv:2301.00322v1 [eess.SY])

In data-driven predictive cloud control tasks, the privacy of data stored and
used in cloud services could be leaked to malicious attackers or curious
eavesdroppers. Homomorphic encryption technique could be used to protect data
privacy while allowing computation. However, extra errors are introduced by the
homomorphic encryption extension to ensure the privacy-preserving properties,
and the real number truncation also brings uncertainty. Also, process and
measure noise existed in system input and output may bring disturbance. In this
work, a data-driven …

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