Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/83335
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Delay-dependent state estimation for discrete Markovian jump neural networks with time-varying delay |
Author: | Wu, Z. Shi, P. Su, H. Chu, J. |
Citation: | Asian Journal of Control, 2011; 13(6):914-924 |
Publisher: | Wiley-Blackwell Publishing, Inc. |
Issue Date: | 2011 |
ISSN: | 1561-8625 1934-6093 |
Statement of Responsibility: | Zhengguang Wu, Peng Shi, Hongye Su, and Jian Chu |
Abstract: | <jats:title>Abstract</jats:title><jats:p>The state estimation problem is discussed for discrete Markovian jump neural networks with time‐varying delays in terms of linear matrix inequality (LMI) approach. The considered transition probabilities are assumed to be time‐variant and partially unknown. The aim of the state estimation problem is to design a state estimator to estimate the neuron states and ensure the stochastic stability of the error‐state system. A delay‐dependent sufficient condition for the existence of the desired state estimator is proposed. An explicit expression of the desired estimator is also given. A numerical example is introduced to show the effectiveness of the given result.</jats:p><jats:p>Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society</jats:p> |
Keywords: | Neural networks time-varying delays state estimation Markovian jumping parameters linear matrix inequality (LMI) |
Rights: | © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society |
DOI: | 10.1002/asjc.219 |
Published version: | http://dx.doi.org/10.1002/asjc.219 |
Appears in Collections: | Aurora harvest 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.