Adaptive Synchronization of Chaotic SC-CNN with Uncertain State Template

Joint Authors

Dam Thanh, Phuong
Pham Thuong, Cat

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-03-19

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

The problem of synchronization of chaotic State Controlled Cellular Neural Network (SC-CNN) with uncertain state template is investigated.

In detail, the following three cases are solved: firstly, synchronization of two identical chaotic SC-CNNs with uncertain state template, secondly, synchronization of two nonidentical chaotic SC-CNNs with all uncertain state templates, and, thirdly, synchronization between chaotic SC-CNN with uncertain state template and different uncertain parameter chaotic systems.

The controllers and update laws proposed in each case are proved closely based on Lyapunov stability theory.

In addition, someillustrative corresponding examples are presented to demonstrate the effectiveness and usefulness of the proposed control laws.

American Psychological Association (APA)

Dam Thanh, Phuong& Pham Thuong, Cat. 2015. Adaptive Synchronization of Chaotic SC-CNN with Uncertain State Template. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075028

Modern Language Association (MLA)

Dam Thanh, Phuong& Pham Thuong, Cat. Adaptive Synchronization of Chaotic SC-CNN with Uncertain State Template. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1075028

American Medical Association (AMA)

Dam Thanh, Phuong& Pham Thuong, Cat. Adaptive Synchronization of Chaotic SC-CNN with Uncertain State Template. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075028

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1075028