Adaptive finite-time fuzzy secure control for nonlinear MASs under deception attacks

被引：2
|
作者：
Bai, Ziqi [1 ]
Bi, Wenshan [1 ]
Sui, Shuai [1 ,3 ]
Tong, Shaocheng [1 ]
Chen, C. L. Philip [2 ]
机构：
[1] Liaoning Univ Technol, Coll Sci, Jinzhou, Peoples R China
[2] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou, Peoples R China
[3] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2024年 / 34卷 / 09期
基金：
中国国家自然科学基金;
关键词：
adaptive fuzzy secure control; deception attacks; finite-time stability; multi-agent systems; CYBER-PHYSICAL SYSTEMS;
D O I：
10.1002/rnc.7286
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the problem of adaptive security control for a class of nonlinear multi-agent systems (MASs) under deception attacks is studied. This scheme aims to design a new adaptive fuzzy control scheme for each subsystem of MASs to reduce the impact of network attacks (from sensor to controller) on state signals, and proposes Nussbaum function to deal with unknown time-varying control directions. In addition, for multi-agent systems, a finite-time convergent security control scheme is designed to ensure the convergence of tracking error and the boundedness of signals in the closed-loop system. Finally, the effectiveness of the proposed method is verified by a simulation example.
引用
收藏
页码：5647 / 5663
页数：17
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