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Robust State Estimation for Delayed Neural Networks with Stochastic Parameter Uncertainties
Joint Authors
Kwon, O. M.
Lee, S. M.
Cha, E. J.
Park, M. J.
Park, Juhyun
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-04
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
This paper considers the problem of delay-dependent state estimation for neural networks with time-varying delays and stochastic parameter uncertainties.
It is assumed that the parameter uncertainties are affected by the environment which is changed with randomly real situation, and its stochastic information such as mean and variance is utilized in the proposed method.
By constructing a newly augmentedLyapunov-Krasovskii functional, a designing method of estimator for neural networks is introduced with the framework of linear matrix inequalities (LMIs) and a neural networks model with stochastic parameter uncertainties which have not been introduced yet.
Two numerical examples are given to show the improvements over the existing ones and the effectiveness of the proposed idea.
American Psychological Association (APA)
Park, M. J.& Kwon, O. M.& Park, Juhyun& Lee, S. M.& Cha, E. J.. 2015. Robust State Estimation for Delayed Neural Networks with Stochastic Parameter Uncertainties. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1075155
Modern Language Association (MLA)
Park, M. J.…[et al.]. Robust State Estimation for Delayed Neural Networks with Stochastic Parameter Uncertainties. Mathematical Problems in Engineering No. 2015 (2015), pp.1-18.
https://search.emarefa.net/detail/BIM-1075155
American Medical Association (AMA)
Park, M. J.& Kwon, O. M.& Park, Juhyun& Lee, S. M.& Cha, E. J.. Robust State Estimation for Delayed Neural Networks with Stochastic Parameter Uncertainties. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1075155
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075155