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Author:

Yan, Hongyun (Yan, Hongyun.) | Qiao, Yuanhua (Qiao, Yuanhua.) (Scholars:乔元华) | Ren, Zhihua (Ren, Zhihua.) | Duan, Lijuan (Duan, Lijuan.) | Miao, Jun (Miao, Jun.)

Indexed by:

EI Scopus SCIE

Abstract:

In order to describe the system as realistically as possible, the fractional-order mem-ristive multidirectional associative memory neural networks (FOMMAMNNs) with pa-rameter disturbances, time-varying and distributed delays are established. Further, the master-slave synchronization is explored. Firstly, in the Filippov's sense, some conditions are derived via the contraction mapping principle to guarantee the uniqueness of equilibrium point of the system. Secondly, from the perspective of reducing control costs, pinning controller and adaptive pinning controller are designed for the first time to induce synchronization of FOMMAMNNs. Moreover, some synchronization criteria are obtained by using the properties of fractional calculus, the appropriate Lyapunov candidate functions and fractional Barbalat's lemma. Thirdly, a communication scheme based on chaotic synchronization is proposed to achieve the safe transmission of important information. Finally, two numerical simulations are given to illustrate the feasibility of the theoretical results and the security of the designed communication scheme.(c) 2023 Elsevier B.V. All rights reserved.

Keyword:

Fractional-order Mixed delays Pinning control Master-slave synchronization Memristive multidirectional associative Secure communication memory neural networks Parameter disturbances

Author Community:

  • [ 1 ] [Yan, Hongyun]Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Qiao, Yuanhua]Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Ren, Zhihua]Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
  • [ 4 ] [Duan, Lijuan]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Miao, Jun]Beijing Informat Sci & Technol Univ, Sch Comp Sci, Beijing 100101, Peoples R China

Reprint Author's Address:

  • [Qiao, Yuanhua]Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China;;

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Source :

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION

ISSN: 1007-5704

Year: 2023

Volume: 120

3 . 9 0 0

JCR@2022

ESI Discipline: PHYSICS;

ESI HC Threshold:17

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 18

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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