首页|Quantization and Event-Triggered Policy Design for Encrypted Networked Control

Quantization and Event-Triggered Policy Design for Encrypted Networked Control

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This paper proposes a novel event-driven encrypted control framework for linear networked control systems(NCSs),which relies on two modified uniform quantization policies,the Paillier cryptosystem,and an event-triggered strategy.Due to the fact that only integers can work in the Pailler cryptosystem,both the real-valued control gain and system state need to be first quantized before encryption.This is dramatically different from the existing quantized control methods,where only the quantiza-tion of a single value,e.g.,the control input or the system state,is considered.To handle this issue,static and dynamic quantization policies are presented,which achieve the desired integer conver-sions and guarantee asymptotic convergence of the quantized sys-tem state to the equilibrium.Then,the quantized system state is encrypted and sent to the controller when the triggering condi-tion,specified by a state-based event-triggered strategy,is satis-fied.By doing so,not only the security and confidentiality of data transmitted over the communication network are protected,but also the ciphertext expansion phenomenon can be relieved.Addi-tionally,by tactfully designing the quantization sensitivities and triggering error,the proposed event-driven encrypted control framework ensures the asymptotic stability of the overall closed-loop system.Finally,a simulation example of the secure motion control for an inverted pendulum cart system is presented to evaluate the effectiveness of the theoretical results.

Cyber-securityencrypted controlevent-triggered control(ETC)networked control systems(NCSs)semi-homomor-phic encryption

Yongxia Shi、Ehsan Nekouei

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Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China

Research Grants Council of Hong KongChow Sang Sang Group Research Fund Sponsored by Chow Sang Sang Holdings International Ltd

CityU 21208921

2024

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN:2329-9266
年,卷(期):2024.11(4)
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