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Synchronization of a Class of Switched Neural Networks with Time-Varying Delays via Nonlinear Feedback Control.

Authors :
Wang, Leimin
Shen, Yi
Zhang, Guodong
Source :
IEEE Transactions on Cybernetics; Oct2016, Vol. 46 Issue 10, p2300-2310, 11p
Publication Year :
2016

Abstract

This paper is concerned with the synchronization problem for a class of switched neural networks (SNNs) with time-varying delays. First, a new crucial lemma which includes and extends the classical exponential stability theorem is constructed. Then by using the lemma, new algebraic criteria of $\psi $ -type synchronization (synchronization with general decay rate) for SNNs are established via the designed nonlinear feedback control. The $\psi $ -type synchronization which is in a general framework is obtained by introducing a $\psi $ -type function. It contains exponential synchronization, polynomial synchronization, and other synchronization as its special cases. The results of this paper are general, and they also complement and extend some previous results. Finally, numerical simulations are carried out to demonstrate the effectiveness of the obtained results. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
21682267
Volume :
46
Issue :
10
Database :
Complementary Index
Journal :
IEEE Transactions on Cybernetics
Publication Type :
Academic Journal
Accession number :
118110086
Full Text :
https://doi.org/10.1109/TCYB.2015.2475277