Decentralized adaptive control for interconnected cyber-physical systems under coordinated attacks
File(s)
Accepted version
Author(s)
Chen, Kaiwen
Astolfi, Alessandro
Parisini, Thomas
Type
Conference Paper
Abstract
This paper introduces a decentralized adaptive control scheme for networks of cyber-physical systems under sensor and coordinated actuator attacks. First, a simplified model, in which each node system is isolated, is studied. A partially adaptive controller with a non-adaptive linear component and an adaptive nonlinear component is proposed: this guarantees bounded system trajectories and asymptotic regulation of the state. Then, the whole network system under coordinated actuator attacks is studied and a decentralized fully adaptive controller is proposed. By jointly placing the fully adaptive controller and the partially adaptive controller, according to the so-called feedback vertex set of the underlying graph, boundedness and convergence properties of the simplified model can be guaranteed for the entire network. Finally, a simulation example for a multi-stage water distribution system is presented. The results show that the proposed controller guarantees robustness of the closed-loop network system against sensor and coordinated actuator attacks and it is capable of restoring the transient performance to that of the attack-free case.
Date Issued
2023-01-10
Date Acceptance
2022-12-06
Citation
2022 IEEE 61st Conference on Decision and Control (CDC), 2023, pp.703-708
ISSN
0743-1546
Publisher
IEEE
Start Page
703
End Page
708
Journal / Book Title
2022 IEEE 61st Conference on Decision and Control (CDC)
Volume
2022-December
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE 61st Conference on Decision and Control (CDC)
Subjects
Automation & Control Systems
CHALLENGES
Engineering
Engineering, Electrical & Electronic
Science & Technology
Technology
Publication Status
Published
Start Date
2022-12-06
Finish Date
2022-12-09
Coverage Spatial
Cancun, Mexico