Finite-Time Robust Stabilization for Stochastic Neural Networks
Joint Authors
Wang, Zhengxin
Zhao, Xiangjun
Liu, Xiaoyang
Jin, Weixiong
Jiang, Nan
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper is concerned with the finite-time stabilization for a class of stochastic neural networks (SNNs) with noise perturbations.
The purpose of the addressed problem is to design a nonlinear stabilizator which can stabilize the states of neural networks in finite time.
Compared with the previous references, a continuous stabilizator is designed to realize such stabilization objective.
Based on the recent finite-time stability theorem of stochastic nonlinear systems, sufficient conditions are established for ensuring the finite-time stability of the dynamics of SNNs in probability.
Then, the gain parameters of the finite-time controller could be obtained by solving a linear matrix inequality and the robust finite-time stabilization could also be guaranteed for SNNs with uncertain parameters.
Finally, two numerical examples are given to illustrate the effectiveness of the proposed design method.
American Psychological Association (APA)
Jin, Weixiong& Liu, Xiaoyang& Zhao, Xiangjun& Jiang, Nan& Wang, Zhengxin. 2012. Finite-Time Robust Stabilization for Stochastic Neural Networks. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-455778
Modern Language Association (MLA)
Jin, Weixiong…[et al.]. Finite-Time Robust Stabilization for Stochastic Neural Networks. Abstract and Applied Analysis No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-455778
American Medical Association (AMA)
Jin, Weixiong& Liu, Xiaoyang& Zhao, Xiangjun& Jiang, Nan& Wang, Zhengxin. Finite-Time Robust Stabilization for Stochastic Neural Networks. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-455778
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455778