Name
Abstract | ||
|---|---|---|
We propose an encrypted set-theoretic model predictive control (ST-MPC) strategy for cloud-based networked control systems. In particular, we consider a scenario where the plant is subject to state and input constraints, and a curious but honest cloud provider is available to implement the control logic remotely. We address the inherent privacy issue by jointly using an additive homomorphic cryptosystem and a modified version of the ST-MPC algorithm, which is tailored to run on encrypted data. We show that, by leveraging a family of zonotopic inner approximations of robust one-step controllable sets and a half-space projection algorithm, we can design the unavoidable computational load on the smart actuator's side to be real-time affordable by the available hardware compared to other existing solutions. A simulation experiment, considering a two-tank water system, is presented to verify the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LCSYS.2022.3182295 | IEEE CONTROL SYSTEMS LETTERS |
Keywords | DocType | Volume |
Cryptography, Cloud computing, Actuators, Privacy, Networked control systems, Predictive control, Homomorphic encryption, Encrypted control, set-theoretic MPC, cloud-based networked control systems | Journal | 6 |
ISSN | Citations | PageRank |
2475-1456 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Mohammad Naseri | 1 | 0 | 0.34 |
| Walter Lucia | 2 | 0 | 0.68 |
| Amr Youssef | 3 | 238 | 29.69 |