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Encrypted model predictive control design for security to cyberattacks

delete2023-04-12
delete11
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OA
AI
A
Atharva Suryavanshi
A
Aisha Alnajdi
M
Mohammed S. Alhajeri
A
Abdullah, Fahim
P
Panagiotis D. Christofides *
DOI:10.1002/aic.18104delete
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摘要

摘要

En 中文
In recent years, cyber-security of networked control systems has become crucial, as these systems are vulnerable to targeted cyberattacks that compromise the stability, integrity, and safety of these systems. In this work, secure and private communication links are established between sensor-controller and controller-actuator elements using semi-homomorphic encryption to ensure cyber-security in model predictive control (MPC) of nonlinear systems. Specifically, Paillier cryptosystem is implemented for encryption-decryption operations in the communication links. Cryptosystems, in general, work on a subset of integers. As a direct consequence of this nature of encryption algorithms, quantization errors arise in the closed-loop MPC of nonlinear systems. Thus, the closed-loop encrypted MPC is designed with a certain degree of robustness to the quantization errors. Furthermore, the trade-off between the accuracy of the encrypted MPC and the computational cost is discussed. Finally, two chemical process examples are employed to demonstrate the implementation of the proposed encrypted MPC design.
Keyword:
cyber-security
encrypted control
model predictive control (MPC)
quantization
semi-homomorphic encryption

期刊

AIChE Journal 封面图
AIChE Journal
IF:
4
论文数:
1.1W
被引数:
2.9W

机构

U
university of california los angeles
学者数:
5.3W
论文数: 4.2W
被引数: 89
University of California System 封面图
University of California System
学者数:
37.7W
论文数: 33.8W
被引数: 6.6K
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