Privacy-preserving Model Predictive Control: Using Homomorphic Encryption

This thesis is focused on protecting sensitive data in optimization-based control methods. We propose a novel Privacy-preserving Model Predictive Controller (PMPC) where multiple agents are controlled by an untrusted external coordinator. By using the Paillier additively Homomorphic Encryption (HE) scheme, our PMPC allows the coordinator to...