State Estimation for Discrete-Time Stochastic Neural Networks with Mixed Delays
Joint Authors
Zhu, Hong
Shi, Lin
Zeng, Yong
Zhong, Shouming
Hou, Liyuan
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-18
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper investigates the analysis problem for stability of discrete-time neural networks (NNs) with discrete- and distribute-time delay.
Stability theory and a linear matrix inequality (LMI) approach are developed to establish sufficient conditions for the NNs to be globally asymptotically stable and to design a state estimator for the discrete-time neural networks.
Both the discrete delay and distribute delays employ decomposing the delay interval approach, and the Lyapunov-Krasovskii functionals (LKFs) are constructed on these intervals, such that a new stability criterion is proposed in terms of linear matrix inequalities (LMIs).
Numerical examples are given to demonstrate the effectiveness of the proposed method and the applicability of the proposed method.
American Psychological Association (APA)
Hou, Liyuan& Zhu, Hong& Zhong, Shouming& Zeng, Yong& Shi, Lin. 2014. State Estimation for Discrete-Time Stochastic Neural Networks with Mixed Delays. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-454749
Modern Language Association (MLA)
Hou, Liyuan…[et al.]. State Estimation for Discrete-Time Stochastic Neural Networks with Mixed Delays. Journal of Applied Mathematics No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-454749
American Medical Association (AMA)
Hou, Liyuan& Zhu, Hong& Zhong, Shouming& Zeng, Yong& Shi, Lin. State Estimation for Discrete-Time Stochastic Neural Networks with Mixed Delays. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-454749
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454749