Paper Info
Title
Synchronization for switched neural networks via variable sampled-data control method.
Abstract
This paper investigates the sampled-data synchronization of switched neural networks with time-varying discrete and distributed delays. Considering that the system switching may happen during a sampling interval, the asynchronous phenomenon is taken into account for the sampled-data control process. By utilizing multiple Lyapunov functions and average dwell time property, sufficient conditions are derived to guarantee the exponential stability of the error between the master and slave neural networks. Based on this, sampled-data controller is further designed so that the master and the slave systems are synchronized with a prescribed performance index. Finally, a numerical example is provided to illustrate the validness and effectiveness of the proposed results.
Year
DOI
Venue
2018
10.1016/j.neucom.2018.05.060
Neurocomputing
Keywords
Field
DocType
Switched neural networks,Exponential synchronization,Asynchronous switching,Sampled-data control
Dwell time,Asynchronous communication,Lyapunov function,Control theory,Synchronization,Pattern recognition,Control theory,Exponential stability,Artificial intelligence,Data control,Artificial neural network,Mathematics
Journal
Volume
ISSN
Citations 
311
0925-2312
2
PageRank 
References 
Authors
0.37
20
4
Name
Order
Citations
PageRank
Chaoxu Guan1283.10
Dong Sun220.37
Zhongyang Fei332026.05
Chao Ren45216.14