An Encrypted Model Predictive Control Strategy for Resilience Operations

In this paper, a resilient model predictive control architecture is proposed for constrained cloud-based networked control systems subject to false data injections on both the controller-to-actuator and sensor-to-controller channels. The basic idea consists in exploiting the capability of the encryption process to hide the data structure, shared between the controller and plant sides, to any third-party. Then, by adequately coupling the latter with the resilient nature of the receding horizon control philosophy, an array of attack countermeasures is determined for the on-line operations. Besides this, in order to secure data packet transmissions, cloud computing operations are performed by adopting an additive homomorphic cryptosys-tern so that encrypted model predictive control sequences are obtained. Finally, a platoon of vehicles is used to validate the whole architecture in simulation.