Towards Encrypted MPC for Linear Constrained Systems
Moritz Schulze Darup, Adrian Redder, Iman Shames, Farhad Farokhi, Daniel Quevedo
IEEE CONTROL SYSTEMS LETTERS | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2018
We present an encrypted model predictive control (MPC) scheme for linear constrained systems. More precisely, we show that homomorphic encryption can be used to realize a secure and private cloud-based evaluation of an MPC if the corresponding piecewise affine control law is explicitly given.
Manuscript received August 31, 2017; revised November 12, 2017; accepted November 28, 2017. Date of publication December 4, 2017; date of current version December 21, 2017. The work of F. Farokhi was supported by McKenzie Fellowship from the University of Melbourne and VESKI Victoria Fellowship from the Victorian State Government. Recommended by Senior Editor J. Daafouz. (Corresponding author: Moritz Schulze Darup.)