Title
Synchronization for distributed parameter NNs with mixed delays via sampled-data control.
Abstract
A sampled-data synchronization scheme is developed for a class of distributed parameter neural networks with mixed time delays. The design approach of the desired sampled data controller is also presented. We propose a sampled-data controller design, in which the sampled-data (in time) measurements of the state are taken in a finite number of fixed sampling points in the spatial domain. It is supposed that the sampling intervals in time and in space are bounded. Based on the extended Wirtinger’s inequality, an appropriate Lyapunov–Krasovskii functional and some free-weighting matrices are used to establish simple and less conservative synchronization criteria, which can ensure that the master systems synchronize with the slave systems via direct Lyapunov approach in terms of linear matrix inequalities. Finally, numerical simulations are carried out to demonstrate the effectiveness of the proposed synchronization method.
Year
DOI
Venue
2016
10.1016/j.neucom.2015.10.057
Neurocomputing
Keywords
Field
DocType
Synchronization,Distributed parameter neural networks,Sampled-data control,Delays
Synchronization,Finite set,Computer science,Matrix (mathematics),Controller design,Control theory,Sampling (statistics),Data control,Artificial neural network,Bounded function
Journal
Volume
Issue
ISSN
175
PA
0925-2312
Citations 
PageRank 
References 
8
0.47
32
Authors
4
Name
Order
Citations
PageRank
Weiyuan Zhang180.47
Jun-Min LI239036.09
Keyi Xing352234.59
Chenyang Ding480.80