An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria-Reference-Cited by-同舟云学术

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An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria

Published:2018-10 Issue: Volume:106 Page:110-126
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Manivannan R.^ORCID,Panda S.,Chong Kil To,Cao Jinde^ORCID

Funder

Ministry of Science, ICT & Future Planning

Ministry of Trade, Industry and Energy (MOTIE) and Korea Institute for Advancement of Technology

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

“333 Engineering” Foundation of Jiangsu Province of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference56 articles.

1. Nonlinear observers: A circle criterion design and robustness analysis;Arcak;Automatica,2001

2. Fixed-time synchronization of delayed memristor-based recurrent neural networks;Cao;Science China. Information Sciences,2017

3. A novel dual H∞ filters based battery parameter and state estimation approach for electric vehicles application;Chen;Energy Procedia,2016

4. Stability and dissipativity analysis of distributed delay cellular neural networks;Feng;IEEE Transactions on Neural Networks,2011

5. Dissipativity and passivity analysis for memristor-based neural networks with leakage and two additive time-varying delays;Fu;Neurocmputing,2018

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