Synchronization for a class of uncertain chaotic cellular neural networks with time-varying delay

Authors:
Jianjun Tu;Hanlin He
Affiliations:
College of Sciences, Naval University of Engineering, Wuhan, China;College of Sciences, Naval University of Engineering, Wuhan, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Year:
2010

Citing 4
Cited 0

2008 Special Issue: Sigma-delta cellular neural network for 2D modulation

Neural Networks
Synchronization of optical chaos in vertical-cavity surface-emitting lasers via optimal PI controller

Expert Systems with Applications: An International Journal
Robust synchronization for asynchronous multi-user chaos-based DS-CDMA

Signal Processing
2009 Special Issue: Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Synchronization problem of a class of chaotic cellular neural networks with time-varying delay and parameter uncertainties is probed in Given the Lipschitz conditions, based on Lyapunov-Krasovskii functional method and the analysis of the bounded uncertainties, a kind of convenient linear controller is derived It can be designed by only solving a linear matrix inequality and can lead the error system to be globally asymptotical stable The simulation results indicate the super properties of the controller.