Tree-based Model Predictive Control Strategy for Software Rejuvenation

被引：0

作者：

Arauz, T. ^{[1
]}

Maestre, J. M. ^{[1
]}

Quevedo, D. ^{[2
]}

Camacho, E. F. ^{[1
]}

机构：

[1] Univ Seville, Dept Ingn Sistemas & Automat, Camino Descubrimientos, Seville 41092, Spain

[2] Queensland Univ Technol, Sch Elect Engn & Robot, Brisbane, Qld, Australia

来源：

2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC) | 2022年

基金：

欧洲研究理事会;

关键词：

D O I：

10.1109/CDC51059.2022.9993366

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Software rejuvenation is a cyberdefense mechanism that periodically resets the mission control software of a system to limit the impact of cyberattacks, activating in case it is necessary a safety controller to guarantee that the system returns to a target safe set. Unlike other works that consider feedback gains as mission controllers, here we propose a tree-based model predictive control scheme to explicitly account for the software refresh events and the possibility of cyberattacks. The benefits of the proposed method are illustrated using a simulated microgrid as a case study.

引用

页码：1124 / 1129

页数：6

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