학술논문

Tree-based Model Predictive Control Strategy for Software Rejuvenation
Document Type
Conference
Source
2022 IEEE 61st Conference on Decision and Control (CDC) Decision and Control (CDC), 2022 IEEE 61st Conference on. :1124-1129 Dec, 2022
Subject
Robotics and Control Systems
Decision making
Microgrids
Predictive models
Benchmark testing
Software
Safety
Computer crime
Language
ISSN
2576-2370
Abstract
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.