Fixed Points and Exponential Stability for Impulsive Time-Delays BAM Neural Networks via LMI Approach and Contraction Mapping Principle
Joint Authors
Pu, Zhilin
Zhong, Shouming
Li, Xinggui
Rao, Ruofeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The fixed point technique has been employed in the stability analysis of time-delays bidirectional associative memory (BAM) neural networks with impulse.
By formulating a contraction mapping in a product space, a new LMI-based exponential stability criterion was derived.
Lately, fixed point methods have educed various good results inspiring this work, but those criteria cannot be programmed by a computer.
In this paper, LMI conditions of the obtained result can be applicable to computer Matlab LMI toolbox which meets the need of the large-scale calculation in real engineering.
Moreover, a numerical example and a comparable table are presented to illustrate the effectiveness of the proposed methods.
American Psychological Association (APA)
Rao, Ruofeng& Pu, Zhilin& Zhong, Shouming& Li, Xinggui. 2016. Fixed Points and Exponential Stability for Impulsive Time-Delays BAM Neural Networks via LMI Approach and Contraction Mapping Principle. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111986
Modern Language Association (MLA)
Rao, Ruofeng…[et al.]. Fixed Points and Exponential Stability for Impulsive Time-Delays BAM Neural Networks via LMI Approach and Contraction Mapping Principle. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1111986
American Medical Association (AMA)
Rao, Ruofeng& Pu, Zhilin& Zhong, Shouming& Li, Xinggui. Fixed Points and Exponential Stability for Impulsive Time-Delays BAM Neural Networks via LMI Approach and Contraction Mapping Principle. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111986
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111986