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.
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页数：11
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