Asymptotic Stability and Asymptotic Synchronization of Memristive Regulatory-Type Networks

Author

Jin-E, Zhang

Source

Advances in Mathematical Physics

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-01-26

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Physics

Abstract EN

Memristive regulatory-type networks are recently emerging as a potential successor to traditional complementary resistive switch models.

Qualitative analysis is useful in designing and synthesizing memristive regulatory-type networks.

In this paper, we propose several succinct criteria to ensure global asymptotic stability and global asymptotic synchronization for a general class of memristive regulatory-type networks.

The experimental simulations also show the performance of theoretical results.

American Psychological Association (APA)

Jin-E, Zhang. 2017. Asymptotic Stability and Asymptotic Synchronization of Memristive Regulatory-Type Networks. Advances in Mathematical Physics،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1123167

Modern Language Association (MLA)

Jin-E, Zhang. Asymptotic Stability and Asymptotic Synchronization of Memristive Regulatory-Type Networks. Advances in Mathematical Physics No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1123167

American Medical Association (AMA)

Jin-E, Zhang. Asymptotic Stability and Asymptotic Synchronization of Memristive Regulatory-Type Networks. Advances in Mathematical Physics. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1123167

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1123167