Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals-Reference-Cited by-同舟云学术

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Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals

Published:2017-03 Issue: Volume:87 Page:149-159
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Manivannan R.,Samidurai R.,Cao Jinde^ORCID,Alsaedi Ahmed,Alsaadi Fuad E.

Funder

Department of Science and Technology - Science and Engineering Research Board (DST-SERB), Government of India, New Delhi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference44 articles.

1. Generalized dissipativity analysis of digital filters with finite wordlength arithmetic;Ahn;IEEE Transactions on Circuits Systems II: Express Briefs,2016

2. Two-dimensional dissipative control and filtering for Roesser model;Ahn;IEEE Transactions on Automatic Control,2015

3. Synchronization of switched interval networks and applications to chaotic neural networks;Cao;Abstract and Applied Analysis,2013

4. A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach;Cao;Chaos, Solitons & Fractals,2005

5. Delay-dependent stability and dissipativity analysis of generalized neural networks with Markovian jump parameters and two delay components;Chen;Journal of the Franklin Institute,2016

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