Sampled-data-based fault-tolerant consensus control for multi-agent systems: A data privacy preserving scheme

被引：53

作者：

Gao, Chen ^{[1
]}

Wang, Zidong ^{[2
]}

He, Xiao ^{[1
]}

Yue, Dong ^{[3
]}

机构：

[1] Tsinghua Univ, Dept Automat, BNRist, Beijing 100084, Peoples R China

[2] Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England

[3] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Peoples R China

来源：

AUTOMATICA | 2021年 / 133卷

基金：

中国国家自然科学基金;

关键词：

Data privacy preserving; Dynamic quantization; Sampled data; Multi-agent system; Fault-tolerant consensus control; DISTRIBUTED CONSENSUS; NETWORKS; TOPOLOGIES;

D O I：

10.1016/j.automatica.2021.109847

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is concerned with the fault-tolerant consensus control problem for a general class of linear continuous-time multi-agent systems (MASs) with the data privacy preserving (DPP) constraints. Rather than employing the traditional cryptographic mechanism, we develop a novel dynamic quantization-based DPP scheme from a control-theoretic perspective. Under our developed DPP scheme, the sampled, quantized, released, received and recovered data is used to design a fault-tolerant controller. With the adopted controller structure, the consensus of the MASs is guaranteed where the size of the data transmitted among agents can be made finite. A series of numerical examples are given and the comparative analysis is carried out to illustrate the effectiveness of the developed consensus control scheme. (C) 2021 Elsevier Ltd. All rights reserved.

引用

页数：11

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