Robust state estimation for fractional-order delayed BAM neural networks via LMI approach-Reference-Cited by-同舟云学术

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Robust state estimation for fractional-order delayed BAM neural networks via LMI approach

Published:2020-05 Issue:8 Volume:357 Page:4964-4982
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Nagamani G.,Shafiya M.,Soundararajan G.,Prakash Mani

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference40 articles.

1. Global Mittag-Leffler stabilization of fractional-order bidirectional associative memory neural networks;Wu;Neurocomputing,2016

2. Global Mittag-Leffler stabilization of fractional-order memristive neural networks;Wu;IEEE Trans. Neural Netw. Learn. Syst.,2017

3. Fractional differentiation by neocortical pyramidal neurons;Lunstrom;Nature Neurosci.,2008

4. Impact of leakage delay on bifurcation in high-order fractional BAM neural networks;Huang;Neural Netw.,2018

5. Disparate delays-induced bifurcations in a fractional-order neural network;Huang;J. Frankl. Inst.,2019

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3. Effect of Leakage Delays on Bifurcation in Fractional-Order Bidirectional Associative Memory Neural Networks with Five Neurons and Discrete Delays;Cognitive Computation;2024-06-05

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