Fixed-Time Passification Analysis of Interconnected Memristive Reaction-Diffusion Neural Networks

被引:34
作者
Wang, Zengyun [1 ,2 ]
Cao, Jinde [2 ,3 ]
Lu, Guoping [4 ,5 ]
Abdel-Aty, Mahmoud [6 ]
机构
[1] Hunan First Normal Univ, Sch Math & Computat Sci, Changsha 410205, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
[3] Southeast Univ, Jiangsu Prov Key Lab Networked Collect Intelligen, Nanjing 210096, Peoples R China
[4] Nantong Univ, Sch Elect Engn, Nantong 226019, Peoples R China
[5] Nantong Univ, Inst Syst Sci, Nantong 226019, Peoples R China
[6] Sohag Univ, Dept Math, Fac Sci, Sohag 82524, Egypt
来源
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING | 2020年 / 7卷 / 03期
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Biological neural networks; Synchronization; Integrated circuit interconnections; Mathematical model; Neurons; Memristors; fixed-time passification; memristive neural network; reaction-diffusion term; fixed-time synchronization; DIRICHLET BOUNDARY-CONDITIONS; PASSIVITY ANALYSIS; FINITE-TIME; STABILITY ANALYSIS; VARYING DELAYS; SYNCHRONIZATION; STABILIZATION;
D O I
10.1109/TNSE.2019.2954463
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article deals with fixed-time passification problem of interconnected networks composed of multiple memristive reaction-diffusion subsystems. Different from the finite-time passivity proposed by Wang, Zhang, et al. (2018), a novel concept of fixed-time passivity/passification is proposed by using upper right Dini derivative, where the settling time is independent on initial value. Next, by designing an appropriate controller and utilizing inequality technique, we put forward several sufficient conditions to guarantee the fixed-time passification of the interconnected memristive reaction-diffusion neural networks (MRDNNs). Furthermore, a fixed-time synchronization criterion is proposed for interconnected MRDNNs. The fixed-time passivity/passification of interconnected MRDNNs has important practical significance in the design and implementation of neural network circuits. Finally, a numerical example is presented to substantiate the correctness of the theoretical results.
引用
收藏
页码:1814 / 1824
页数:11
相关论文
共 56 条
[1]   Finite-time synchronization for memristor-based neural networks with time-varying delays [J].
Abdurahman, Abdujelil ;
Jiang, Haijun ;
Teng, Zhidong .
NEURAL NETWORKS, 2015, 69 :20-28
[2]  
Anderson BDO., 1973, NETWORK ANAL SYNTHES
[3]  
[Anonymous], 1988, Inequalities
[4]  
Brezis H., 1997, REV MAT COMPLUT, V10, P443
[5]   Fixed-time synchronization of delayed memristor-based recurrent neural networks [J].
Cao, Jinde ;
Li, Ruoxia .
SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (03)
[6]   Passivity analysis of delayed reaction-diffusion memristor-based neural networks [J].
Cao, Yanyi ;
Cao, Yuting ;
Wen, Shiping ;
Huang, Tingwen ;
Zeng, Zhigang .
NEURAL NETWORKS, 2019, 109 :159-167
[7]   Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay [J].
Chen, Chuan ;
Li, Lixiang ;
Peng, Haipeng ;
Yang, Yixian .
NEURAL NETWORKS, 2017, 96 :47-54
[8]   Impulsive Synchronization of Reaction-Diffusion Neural Networks With Mixed Delays and Its Application to Image Encryption [J].
Chen, Wu-Hua ;
Luo, Shixian ;
Zheng, Wei Xing .
IEEE Transactions on Neural Networks and Learning Systems, 2016, 27 (12) :2696-2710
[9]   Resistance switching memories are memristors [J].
Chua, Leon .
APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2011, 102 (04) :765-783
[10]   AUTONOMOUS CELLULAR NEURAL NETWORKS - A UNIFIED PARADIGM FOR PATTERN-FORMATION AND ACTIVE WAVE-PROPAGATION [J].
CHUA, LO ;
HASLER, M ;
MOSCHYTZ, GS ;
NEIRYNCK, J .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 1995, 42 (10) :559-577