Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/83601
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Passivity analysis for discrete-time stochastic markovian jump neural networks with mixed time delays |
Author: | Wu, Z. Shi, P. Su, H. Chu, J. |
Citation: | IEEE Transactions on Neural Networks and Learning Systems, 2011; 22(10):1566-1575 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2011 |
ISSN: | 1045-9227 1941-0093 |
Statement of Responsibility: | Zheng-Guang Wu, Peng Shi, Hongye Su, and Jian Chu |
Abstract: | In this paper, passivity analysis is conducted for discrete-time stochastic neural networks with both Markovian jumping parameters and mixed time delays. The mixed time delays consist of both discrete and distributed delays. The Markov chain in the underlying neural networks is finite piecewise homogeneous. By introducing a Lyapunov functional that accounts for the mixed time delays, a delay-dependent passivity condition is derived in terms of the linear matrix inequality approach. The case of Markov chain with partially unknown transition probabilities is also considered. All the results presented depend upon not only discrete delay but also distributed delay. A numerical example is included to demonstrate the effectiveness of the proposed methods. |
Keywords: | Humans Linear Models Markov Chains Stochastic Processes Algorithms Time Factors Neural Networks, Computer |
Rights: | © 2011 IEEE |
DOI: | 10.1109/TNN.2011.2163203 |
Published version: | http://dx.doi.org/10.1109/tnn.2011.2163203 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.