Exponential Synchronization Control of Discontinuous Nonautonomous Networks and Autonomous Coupled Networks

Joint Authors

Yang, Chao
Huang, Lihong
Li, Fangmin

Source

Complexity

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-10-17

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Philosophy

Abstract EN

This paper concerns complex delayed neural networks with discontinuous activations.

Based on the framework of differential inclusion theory, we design two novel controllers by regulating a parameter σ 0≤σ<1 which covers both discontinuous and continuous controllers.

Then, we investigate a nonautonomous cellular neural network system and autonomous neural network with linear coupling, respectively.

By choosing a time-dependent Lyapunov-Krasovskii functional candidate and suitable controllers, some criteria are studied to guarantee the exponential synchronization of the complex delayed dynamical network.

Finally, two numerical examples are given to illustrate our theoretical analysis.

American Psychological Association (APA)

Yang, Chao& Huang, Lihong& Li, Fangmin. 2018. Exponential Synchronization Control of Discontinuous Nonautonomous Networks and Autonomous Coupled Networks. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1134991

Modern Language Association (MLA)

Yang, Chao…[et al.]. Exponential Synchronization Control of Discontinuous Nonautonomous Networks and Autonomous Coupled Networks. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1134991

American Medical Association (AMA)

Yang, Chao& Huang, Lihong& Li, Fangmin. Exponential Synchronization Control of Discontinuous Nonautonomous Networks and Autonomous Coupled Networks. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1134991

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1134991