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Publication type: Article
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Title: |
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays
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Author(s): |
Rakkiyappan,R.
(Author)
Chandrasekar,A.
(Author)
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Source Journal Info. |
Title:IEEE Transactions on Neural Networks and Learning Systems
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Issue Number:2015/SEP V.26 N.9
Call No.:006 ITN Location: References & Periodical Hall - 2nd floor
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Physical Description: |
p 2043 - 2057
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Subject Area: |
Computer
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Subject Terms: |
Neural networks (Computer science)
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Accession Number |
142810
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Abstract
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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
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