H∞ state estimation of stochastic memristor-based neural networks with time-varying delays-Reference-Cited by-同舟云学术

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H∞ state estimation of stochastic memristor-based neural networks with time-varying delays

Published:2018-03 Issue: Volume:99 Page:79-91
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Bao Haibo,Cao Jinde^ORCID,Kurths Jürgen,Alsaedi Ahmed,Ahmad Bashir

Funder

National Natural Science Foundation of China

Doctoral Program of Higher Education

Natural Science Foundation of Jiangsu Province, China

China Scholarship Council

Fundamental Research Funds for Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference48 articles.

1. Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay;Bao;Neural Networks,2011

2. Linear matrix inequalities in system and control theory;Boyd,1994

3. Stability and Hopf bifurcation in a simplified BAM neural network with two time delays;Cao;IEEE Transactions on Neural Networks,2007

4. Memristor-the missing circuit element;Chua;IEEE Transactions on Circuit Theory,1971

5. H∞ state estimation for memristive neural networks with time-varying delays: The discrete-time case;Ding;Neural Networks,2016

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