Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control

Author

Jin-E, Zhang

Source

Complexity

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-08-07

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Philosophy

Abstract EN

We show that every subnetwork of a class of coupled fractional-order neural networks consisting of N identical subnetworks can have r+1n locally Mittag-Leffler stable equilibria.

In addition, we give some algebraic criteria for ascertaining the static multisynchronization of coupled fractional-order neural networks with fixed and switching topologies, respectively.

The obtained theoretical results characterize multisynchronization feature for multistable control systems.

Two numerical examples are given to verify the superiority of the proposed results.

American Psychological Association (APA)

Jin-E, Zhang. 2017. Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control. Complexity،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143683

Modern Language Association (MLA)

Jin-E, Zhang. Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control. Complexity No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1143683

American Medical Association (AMA)

Jin-E, Zhang. Multisynchronization for Coupled Multistable Fractional-Order Neural Networks via Impulsive Control. Complexity. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143683

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1143683