|
Publication type: Article
|
| Title: |
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays
|
| Author(s): |
Rakkiyappan,R.
(Author)
Chandrasekar,A.
(Author)
|
| Source Journal Info. |
Title:IEEE Transactions on Neural Networks and Learning Systems
|
|
Issue Number:2015/SEP V.26 N.9
Call No.:006 ITN
Location: References & Periodical Hall - 2nd floor
|
| Physical Description: |
p 2043 - 2057
|
| Subject Area: |
Computer
|
| Subject Terms: |
Neural networks (Computer science)
|
| Accession Number |
142810
|
Abstract
|
This paper presents a new design scheme for the passivity and passification of a class of memristor-based recurrent neural networks (MRNNs) with additive time-varying delays. The predictable assumptions on the boundedness and Lipschitz continuity of activation functions are formulated. The systems considered here are based on a different time-delay model suggested recently, which includes additive time-varying delay components in the state. ...
Abstract URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6955804&filter%3DAND%28p_IS_Number%3A7206790%29
|
|
|
|