LMI-Based Stability Criteria for Discrete-Time Neural Networks with Multiple Delays
Joint Authors
Source
Advances in Mathematical Physics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Discrete neural models are of great importance in numerical simulations and practical implementations.
In the current paper, a discrete model of continuous-time neural networks with variable and distributed delays is investigated.
By Lyapunov stability theory and techniques such as linear matrix inequalities, sufficient conditions guaranteeing the existence and global exponential stability of the unique equilibrium point are obtained.
Introduction of LMIs enables one to take into consideration the sign of connection weights.
To show the effectiveness of the method, an illustrative example, along with numerical simulation, is presented.
American Psychological Association (APA)
Xu, Hui& Wu, Ranchao. 2013. LMI-Based Stability Criteria for Discrete-Time Neural Networks with Multiple Delays. Advances in Mathematical Physics،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-494297
Modern Language Association (MLA)
Xu, Hui& Wu, Ranchao. LMI-Based Stability Criteria for Discrete-Time Neural Networks with Multiple Delays. Advances in Mathematical Physics No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-494297
American Medical Association (AMA)
Xu, Hui& Wu, Ranchao. LMI-Based Stability Criteria for Discrete-Time Neural Networks with Multiple Delays. Advances in Mathematical Physics. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-494297
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494297