| Literature DB >> 24805049 |
Wuneng Zhou, Dongbing Tong, Yan Gao, Chuan Ji, Hongye Su.
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.Mesh:
Year: 2012 PMID: 24805049 DOI: 10.1109/TNNLS.2011.2179556
Source DB: PubMed Journal: IEEE Trans Neural Netw Learn Syst ISSN: 2162-237X Impact factor: 10.451