DocumentCode
1431749
Title
Mode and Delay-Dependent Adaptive Exponential Synchronization in
th Moment for Stochastic Delayed Neural Networks With Markovian Switching
Author
Wuneng Zhou ; Dongbing Tong ; Yan Gao ; Chuan Ji ; Hongye Su
Author_Institution
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Volume
23
Issue
4
fYear
2012
fDate
4/1/2012 12:00:00 AM
Firstpage
662
Lastpage
668
Abstract
In this brief, the analysis problem of the mode and delay-dependent adaptive exponential synchronization in th moment is considered for stochastic delayed neural networks with Markovian switching. By utilizing a new nonnegative function and the -matrix approach, several sufficient conditions to ensure the mode and delay-dependent adaptive exponential synchronization in th moment for stochastic delayed neural networks are derived. Via the adaptive feedback control techniques, some suitable parameters update laws are found. To illustrate the effectiveness of the -matrix-based synchronization conditions derived in this brief, a numerical example is provided finally.
Keywords
Markov processes; adaptive control; delays; feedback; matrix algebra; neural nets; stochastic systems; M-matrix-based synchronization conditions; Markovian switching; adaptive feedback control techniques; delay-dependent adaptive exponential synchronization; mode adaptive exponential synchronization; nonnegative function; stochastic delayed neural networks; Adaptive systems; Bismuth; Delay; Neural networks; Stability criteria; Switches; Synchronization; Adaptive exponential synchronization in $p$ th moment; Markovian switching; neural networks; stochastic noise; time-varying delays;
fLanguage
English
Journal_Title
Neural Networks and Learning Systems, IEEE Transactions on
Publisher
ieee
ISSN
2162-237X
Type
jour
DOI
10.1109/TNNLS.2011.2179556
Filename
6138920
Link To Document