Future control schemes will increasingly rely on cloud-computing and distributed computing. In the resulting networked control systems, sensible data is communicated via public networks and processed on third party platforms. Encrypted controllers seek to secure the confidentiality and privacy of the involved data throughout the entire control-loop. To achieve this goal, classical control algorithms are modified such that they are capable of computing encrypted control actions based on encrypted system states without intermediate decryptions. The underlying key technologies are homomorphic cryptosystems, secret sharing, and multi-party computation.

M. Schulze Darup, "Encrypted Model Predictive Control in the Cloud", In: Privacy in Dynamical Systems, F. Farokhi (Ed.), Springer, 2020.

M. Schulze Darup, "Verschlüsselte Cloud-basierte Regelung - Stand der Technik und offene Probleme", at - Automatisierungstechnik, vol. 67, no. 8, pp. 668-681 , 2019.

M. Schulze Darup, A. Redder, and D. E. Quevedo, "Encrypted Cooperative Control Based on Structured Feedback", IEEE Control System Letters, vol. 3, no. 1, pp. 37-42, 2019.

M. Schulze Darup, A. Redder, and D. E. Quevedo, "Encrypted Cloud-based MPC for Linear Systems with Input Constraints" In: Proc. of the 6th IFAC Conference on Nonlinear Model Predictive Control, 635-642, 2018.

M. Schulze Darup, A. Redder, I. Shames, F. Farokhi, and D. E. Quevedo, "Towards Encrypted MPC for Linear Constrained Systems", IEEE Control System Letters, vol. 2, no. 2, pp. 195-200, 2018.

Please contact us for copies of the listed articles.