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contributor authorZhang, Xiaohong
contributor authorLiao, Linyu
date accessioned2017-11-25T07:20:20Z
date available2017-11-25T07:20:20Z
date copyright2016/5/12
date issued2017
identifier issn1555-1415
identifier othercnd_012_03_031002.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236378
description abstractAs a especial type of synchronous method, compound synchronization is designed by multiple drive systems and response systems. In this paper, a new type of compound synchronization of three drive systems and two response systems is investigated. According to synchronous control of five memristive cellular neural networks (CNNs), the theoretical analysis and demonstration are given out by using Lyapunov stability theory. The corresponding numerical simulations and synchronous performance analysis are supplied to verify the feasibility and scalability of compound synchronization design.
publisherThe American Society of Mechanical Engineers (ASME)
titleCompound Synchronization Based on Memristive Cellular Neural Network of Chaos System
typeJournal Paper
journal volume12
journal issue3
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4034565
journal fristpage31002
journal lastpage031002-9
treeJournal of Computational and Nonlinear Dynamics:;2017:;volume( 012 ):;issue: 003
contenttypeFulltext


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