Privacy Preservation Distributed Tracking Consensus with Secure Event-Based Control for Nonlinear Multiagent System

In this paper, the distributed tracking consensus control for a nonlinear multiagent system with the event trigger mechanism and quantization is investigated and the privacy preservation for each agent is researched. Firstly, a nonlinear multiagent system with quantized states and control signals is considered. The stability of the system influenced by quantization and triggering mechanism with time-varying thresholds is proved. Moreover, to protect the privacy concerning the states, control signals, and trigger thresholds of agents, a privacy-preserving diagram is proposed based on addictive homomorphic encryption and a secure comparison algorithm. The security and the impact on the stability of the proposed diagram is discussed. Finally, a comparison experiment demonstrates that the proposed privacy preservation control strategy achieves better tracking accuracy, reduces more communication burden and guarantees the security of the privacy of systems.

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/smc54092.2024.10831166
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Privacy Preservation Distributed Tracking Consensus with Secure Event-Based Control for Nonlinear Multiagent System

Yong Chen, Yejie He
Blockchain Technology Applications and Security
article

Privacy Preservation Distributed Tracking Consensus with Secure Event-Based Control for Nonlinear Multiagent System

Yong Chen, Yejie He
article en

Abstract

In this paper, the distributed tracking consensus control for a nonlinear multiagent system with the event trigger mechanism and quantization is investigated and the privacy preservation for each agent is researched. Firstly, a nonlinear multiagent system with quantized states and control signals is considered. The stability of the system influenced by quantization and triggering mechanism with time-varying thresholds is proved. Moreover, to protect the privacy concerning the states, control signals, and trigger thresholds of agents, a privacy-preserving diagram is proposed based on addictive homomorphic encryption and a secure comparison algorithm. The security and the impact on the stability of the proposed diagram is discussed. Finally, a comparison experiment demonstrates that the proposed privacy preservation control strategy achieves better tracking accuracy, reduces more communication burden and guarantees the security of the privacy of systems.

University of Electronic Science and Technology of China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 59%
Blockchain Technology Applications and Security
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