Event-triggered H?/passive synchronization for Markov jumping reaction-diffusion neural networks under deception attacks

被引：13

作者：

Zhang, Ziwei ^{[1
]}

Li, Feng ^{[1
]}

Fang, Ting ^{[1
]}

Shi, Kaibo ^{[2
]}

Shen, Hao ^{[1
]}

机构：

[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243032, Peoples R China

[2] Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China

来源：

ISA TRANSACTIONS | 2022年 / 129卷

关键词：

Reaction-diffusion; Event-triggered transmission schemes; Markov jump neural networks; Hoo; passive synchronization; TIME-VARYING DELAYS; SYSTEMS;

D O I：

10.1016/j.isatra.2021.12.035

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The issue of Hoo/passive master-slave synchronization for Markov jumping neural networks with reaction-diffusion terms is investigated in this paper via an event-triggered control scheme under deception attacks. To lighten the burden of limited communication bandwidth as well as ensure the control performance, an event-triggered transmission scheme is developed. Meanwhile, the randomly occurring deception attacks, which received from the event generator are assumed to modify the sign of the control signal, are taken into account. Furthermore, sufficient conditions ensuring the prescribed Hoo/passive performance level of the neural networks, are deduced beyond Lyapunov stability theory, and the controller gains are derived dealing with the matrix convex optimization problem. At last, the availability of the approach proposed is demonstrated via a numerical example. (c) 2021 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：36 / 43

页数：8

共 39 条

[31] Introduction to the modified probabilistic neural network for general signal processing applications [J].

Zaknich, A .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (07) :1980-1990

[32] A survey on attack detection, estimation and control of industrial cyber-physical systems [J].

Zhang, Dan ;

Wang, Qing-Guo ;

Feng, Gang ;

Shi, Yang ;

Vasilakos, Athanasios V. .

ISA TRANSACTIONS, 2021, 116 :1-16

[33] Asynchronous State Estimation for Discrete-Time Switched Complex Networks With Communication Constraints [J].

Zhang, Dan ;

Wang, Qing-Guo ;

Srinivasan, Dipti ;

Li, Hongyi ;

Yu, Li .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (05) :1732-1746

[34] Energy-Efficient Distributed Filtering in Sensor Networks: A Unified Switched System Approach [J].

Zhang, Dan ;

Shi, Peng ;

Zhang, Wen-An ;

Yu, Li .

IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (07) :1618-1629

[35] Nonfragile Distributed Filtering for T-S Fuzzy Systems in Sensor Networks [J].

Zhang, Dan ;

Cai, Wenjian ;

Xie, Lihua ;

Wang, Qing-Guo .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (05) :1883-1890

[36] Resilient Asynchronous H∞ Filtering for Markov Jump Neural Networks With Unideal Measurements and Multiplicative Noises [J].

Zhang, Lixian ;

Zhu, Yanzheng ;

Shi, Peng ;

Zhao, Yuxin .

IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (12) :2840-2852

[37] Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive Effects [J].

Zhang, Wenbing ;

Tang, Yang ;

Miao, Qingying ;

Du, Wei .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 24 (08) :1316-1326

[38] Finite-time boundedness filtering for discrete-time Markovian jump system subject to partly unknown transition probabilities [J].

Zhong, Qishui ;

Bai, Jinping ;

Wen, Bin ;

Li, Shujun ;

Zhong, Fuli .

ISA TRANSACTIONS, 2014, 53 (04) :1107-1118

[39] H∞ mode-dependent fault detection filter design for stochastic Markovian jump systems with time-varying delays and parameter uncertainties [J].

Zhuang, Guangming ;

Xia, Jianwei ;

Chu, Yuming ;

Chen, Fu .

ISA TRANSACTIONS, 2014, 53 (04) :1024-1034

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