Master-slave synchronization of neural networks subject to mixed-type communication attacks

被引：30
作者：
Kazemy, Ali [1 ,3 ]
Saravanakumar, Ramasamy [2 ]
Lam, James [3 ]
机构：
[1] Tafresh Univ, Dept Elect Engn, Tafresh 3951879611, Iran
[2] Hiroshima Univ, Grad Sch Engn, 1-4-1 Kagamiyama, Higashihiroshima 7398527, Japan
[3] Univ Hong Kong, Dept Mech Engn, Pokfulam Rd, Hong Kong, Peoples R China
来源：
INFORMATION SCIENCES | 2021年 / 560卷
关键词：
Cyber-attack; Deception attack; DoS attack; Neural network; Replay attack; Synchronization; EVENT-TRIGGERED COMMUNICATION; CYBER-PHYSICAL SYSTEMS; H-INFINITY CONTROL; SECURITY CONTROL; DELAY; STABILITY; CRITERIA;
D O I：
10.1016/j.ins.2021.01.063
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 concerns the master-slave synchronization issue of neural networks subject to mixed-type communication attacks. The synchronization strategy is based on static output feedback controller followed by an event-triggered scheme. The communication network is assumed to be under various types of cyber-attacks, namely, deception, replay, and denial-of-service attacks. All these attacks are investigated in a unified Markovian jump framework. Using the Lyapunov-Krasovskii theory and stochastic analysis techniques, some design criteria are derived and formulated in terms of matrix inequalities. A convex optimization algorithm is proposed to design the static output feedback controller. Finally, two chaotic examples are presented to demonstrate the effectiveness of the eventtriggered static output feedback controller. (C) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码：20 / 34
页数：15
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