In this paper we present a hierarchical scheme to detect cyber-attacks in a hierarchical control architecture for large-scale interconnected systems (LSS). We consider the LSS as a network of physically coupled subsystems, equipped with a two-layer controller: on the local level, decentralized controllers guarantee overall stability and reference tracking; on the supervisory level, a centralized coordinator sets references for the local regulators. We present a scheme to detect attacks that occur at the local level, with malicious agents capable of affecting the local control. The detection scheme is computed at the supervisory level, requiring only limited exchange of data and model knowledge. We offer detailed theoretical analysis of the proposed scheme, highlighting its detection properties in terms of robustness, detectability and stealthiness conditions.
|Title of host publication||Proceedings of the IEEE 61st Conference on Decision and Control (CDC 2022)|
|Publication status||Published - 2022|
|Event||IEEE 61st Conference on Decision and Control (CDC 2022) - Cancún, Mexico|
Duration: 6 Dec 2022 → 9 Dec 2022
|Conference||IEEE 61st Conference on Decision and Control (CDC 2022)|
|Period||6/12/22 → 9/12/22|
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- Estimation error
- Industrial control
- Computer architecture
- Interconnected systems