An LMI Approach for Dynamics of Switched Cellular Neural Networks with Mixed Delays
Joint Authors
Kuang, Hanfeng
Chen, Xiaohong
Wen, Fenghua
Huang, Chuangxia
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper considers the dynamics of switched cellular neural networks (CNNs) with mixed delays.
With the help of the Lyapnnov function combined with the average dwell time method and linear matrix inequalities (LMIs) technique, some novel sufficient conditions on the issue of the uniformly ultimate boundedness, the existence of an attractor, and the globally exponential stability for CNN are given.
The provided conditions are expressed in terms of LMI, which can be easily checked by the effective LMI toolbox in Matlab in practice.
American Psychological Association (APA)
Huang, Chuangxia& Kuang, Hanfeng& Chen, Xiaohong& Wen, Fenghua. 2013. An LMI Approach for Dynamics of Switched Cellular Neural Networks with Mixed Delays. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-504917
Modern Language Association (MLA)
Huang, Chuangxia…[et al.]. An LMI Approach for Dynamics of Switched Cellular Neural Networks with Mixed Delays. Abstract and Applied Analysis No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-504917
American Medical Association (AMA)
Huang, Chuangxia& Kuang, Hanfeng& Chen, Xiaohong& Wen, Fenghua. An LMI Approach for Dynamics of Switched Cellular Neural Networks with Mixed Delays. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-504917
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504917