Fixed-time projective synchronization of memristive neural networks with discrete delay-Reference-Cited by-同舟云学术

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Fixed-time projective synchronization of memristive neural networks with discrete delay

Published:2019-11 Issue: Volume:534 Page:122248
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Chen Chuan,Li Lixiang,Peng Haipeng,Yang Yixian,Mi Ling,Qiu Baolin

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference65 articles.

1. Memristor-the missing circuit element;Chua;IEEE Trans. Circuit Theory,1971

2. The missing memristor found;Struko;Nature,2008

3. Anti-synchronization of coupled memristive neutral-type neural networks with mixed time-varying delays via randomly occurring control;Wang;Nonlinear Dynam.,2016

4. Passivity of memristive BAM neural networks with leakage and additive time-varying delays;Wang;Modern Phys. Lett. B,2018

5. A novel human activity recognition scheme for smart health using multilayer extreme learning machine;Chen;IEEE Internet Things J.,2018

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1. Quasi-projective synchronization of non-identical time-varying delayed quaternion-valued neural networks with interaction terms: Direct method;Engineering Applications of Artificial Intelligence;2024-10

2. Fixed-Time Stabilization for a Class of Stochastic Memristive Inertial Neural Networks With Time-Varying Delays;IEEE Access;2024

3. Projective quasi-synchronization of complex-valued recurrent neural networks with proportional delay and mismatched parameters via matrix measure approach;Engineering Applications of Artificial Intelligence;2023-11

4. Finite-time dissipative control for discrete-time memristive neural networks via interval matrix method;Chaos, Solitons & Fractals;2023-11

5. Quasi-projective synchronization of memristor-based complex valued recurrent neural network with time-varying delay and mismatched parameters;Neurocomputing;2023-11

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