Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks

被引：7
|
作者：
Xin, Youming [1 ]
Cheng, Zunshui [1 ]
Cao, Jinde [2 ,3 ,4 ]
Rutkowski, Leszek [5 ,6 ]
Wang, Yaning [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao 266061, Peoples R China
[2] Southeast Univ, Frontiers Sci Ctr Mobile Informat Commun & Secur, Sch Math, Nanjing 210096, Peoples R China
[3] Purple Mt Labs, Nanjing 211111, Peoples R China
[4] Yonsei Univ, Yonsei Frontier Lab, Seoul 03722, South Korea
[5] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland
[6] AGH Univ Sci & Technol, Inst Comp Sci, PL-30059 Krakow, Poland
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2024年 / 35卷 / 01期
关键词：
Neural networks; Memristors; Mathematical models; Stability criteria; Circuit stability; Linear matrix inequalities; Integrated circuit modeling; Continuous model; inertial neural networks; matrix measure method; memristor; quasi-stability; EXPONENTIAL SYNCHRONIZATION; STABILITY ANALYSIS;
D O I：
10.1109/TNNLS.2022.3173620
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this brief, we consider the stability of inertial memristor-based neural networks with time-varying delays. First, delayed inertial memristor-based neural networks are modeled as continuous systems in the flux-current-voltage-time domain via the mathematical model of Hewlett-Packard (HP) memristor. Then, they are reduced to delayed inertial neural networks with interval parameters uncertainties. Quasi-equilibrium points and quasi-stability are proposed. Quasi-stability criteria of delayed inertial memristor-based neural networks are obtained by matrix measure method, the Halanay inequality, and uncertainty technologies. In the end, a numerical example is provided to show the validity of our results.
引用
收藏
页码：1394 / 1400
页数：7
相关论文
共 50 条
  • [1] Finite-Time Stabilization and Adaptive Control of Memristor-Based Delayed Neural Networks
    Wang, Leimin
    Shen, Yi
    Zhang, Guodong
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (11) : 2648 - 2659
  • [2] Multisynchronization of a class of delayed memristor-based neural networks
    Lin, Ya-Qi
    Ge, Ming-Feng
    Ding, Teng-Fei
    Zhu, Ziqi
    He, Juanjuan
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 5509 - 5513
  • [3] Memristor-Based Circuit Design for Multilayer Neural Networks
    Zhang, Yang
    Wang, Xiaoping
    Friedman, Eby G.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2018, 65 (02) : 677 - 686
  • [4] Quantized Control Based on Stabilization of Discontinuous Memristor-Based Fuzzy Inertial Neural Networks With Proportional Delays
    Zhang, Yuanyuan
    Kong, Fanchao
    Zhu, Quanxin
    Huang, Tingwen
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (09): : 5756 - 5767
  • [5] Robust dissipativity analysis for delayed memristor-based inertial neural network
    Zhang, Mengsi
    Wang, Dongshu
    NEUROCOMPUTING, 2019, 366 : 340 - 351
  • [6] Hardware implementation of memristor-based artificial neural networks
    Aguirre, Fernando
    Sebastian, Abu
    Le Gallo, Manuel
    Song, Wenhao
    Wang, Tong
    Yang, J. Joshua
    Lu, Wei
    Chang, Meng-Fan
    Ielmini, Daniele
    Yang, Yuchao
    Mehonic, Adnan
    Kenyon, Anthony
    Villena, Marco A.
    Roldan, Juan B.
    Wu, Yuting
    Hsu, Hung-Hsi
    Raghavan, Nagarajan
    Sune, Jordi
    Miranda, Enrique
    Eltawil, Ahmed
    Setti, Gianluca
    Smagulova, Kamilya
    Salama, Khaled N.
    Krestinskaya, Olga
    Yan, Xiaobing
    Ang, Kah-Wee
    Jain, Samarth
    Li, Sifan
    Alharbi, Osamah
    Pazos, Sebastian
    Lanza, Mario
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [7] Hardware implementation of memristor-based artificial neural networks
    Fernando Aguirre
    Abu Sebastian
    Manuel Le Gallo
    Wenhao Song
    Tong Wang
    J. Joshua Yang
    Wei Lu
    Meng-Fan Chang
    Daniele Ielmini
    Yuchao Yang
    Adnan Mehonic
    Anthony Kenyon
    Marco A. Villena
    Juan B. Roldán
    Yuting Wu
    Hung-Hsi Hsu
    Nagarajan Raghavan
    Jordi Suñé
    Enrique Miranda
    Ahmed Eltawil
    Gianluca Setti
    Kamilya Smagulova
    Khaled N. Salama
    Olga Krestinskaya
    Xiaobing Yan
    Kah-Wee Ang
    Samarth Jain
    Sifan Li
    Osamah Alharbi
    Sebastian Pazos
    Mario Lanza
    Nature Communications, 15
  • [8] Adaptive Synchronization for Delayed Chaotic Memristor-Based Neural Networks
    Xin, Youming
    Cheng, Zunshui
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (02) : 601 - 610
  • [9] Memristor-based neural networks
    Thomas, Andy
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2013, 46 (09)
  • [10] Finite-time stabilization of memristor-based inertial neural networks with discontinuous activations and distributed delays
    Wang, Leimin
    Zeng, Zhigang
    Zong, Xiaofeng
    Ge, Ming-Feng
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (06): : 3628 - 3643
12345