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author:

Lin, L. (Lin, L..) [1] | Wu, P. (Wu, P..) [2] | Chen, Y. (Chen, Y..) [3] | He, B. (He, B..) [4]

Indexed by:

Scopus

Abstract:

This paper concentrates on the global predefined-time synchronization of delayed memristive neural networks with external unknown disturbance via an observer-based active control. First, a global predefined-time stability theorem based on a non-negative piecewise Lyapunov function is proposed, which can obtain more accurate upper bound of the settling time estimation. Subsequently, considering the delayed memristive neural networks with disturbance, a disturbance-observer is designed to approximate the external unknown disturbance in the response system with a Hurwitz theorem and then to eliminate the influence of the unknown disturbance. With the help of global predefined-time stability theorem, the predefined-time synchronization is achieved between two delayed memristive neural networks via an active control Lyapunov function design. Finally, two numerical simulations are performed, and the results are given to show the correctness and feasibility of the predefined-time stability theorem. © 2020 Author(s).

Keyword:

Community:

  • [ 1 ] [Lin, L.]School of Mechanical Engineering and Automation, Fuzhou University, Fujian, 350116, China
  • [ 2 ] [Wu, P.]School of Mechanical Engineering and Automation, Fuzhou University, Fujian, 350116, China
  • [ 3 ] [Chen, Y.]School of Mechanical Engineering and Automation, Fuzhou University, Fujian, 350116, China
  • [ 4 ] [He, B.]School of Mechanical Engineering and Automation, Fuzhou University, Fujian, 350116, China

Reprint 's Address:

  • [Lin, L.]School of Mechanical Engineering and Automation, Fuzhou UniversityChina

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Source :

Chaos

ISSN: 1054-1500

Year: 2020

Issue: 8

Volume: 30

3 . 6 4 2

JCR@2020

2 . 7 0 0

JCR@2023

ESI HC Threshold:115

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 25

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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