Encrypted MPC Design using Orthonormal Functions to Control Distributed Electrical Drive Systems

This study presents an encrypted Model Predictive Control (MPC) framework for linear constrained systems, complemented by experimental validation across a networked communication architecture for electric drive systems. The functionality of the encrypted controller is twofold: it safeguards communication links and prevents the exposure of sensitive internal control parameters. The processing latencies of the encrypted scheme we propose are shown to be negligible, ensuring compatibility with the strict real-time constraints of the electrical drive control system.