Adaptive synchronization of chaotic SC-CNN with uncertain state template
type: Item
instance of: scholarly article
title: Adaptive synchronization of chaotic SC-CNN with uncertain state template
zbMATH Open document ID: 1394.34122
DOI: 10.1155/2015/909680
author: Phuong Dam Thanh
author: Cat Pham Thuong
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: 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, some illustrative corresponding examples are presented to demonstrate the effectiveness and usefulness of the proposed control laws.
Mathematics Subject Classification ID: 34H10
Mathematics Subject Classification ID: 34D06
zbMATH DE Number: 6927531
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/909680
OpenAlex ID: W2092888999
Wikidata QID: Q59120240
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description: scientific article; zbMATH DE number 6927531