Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks

Neurocomputing ◽

10.1016/j.neucom.2020.07.036 ◽

2020 ◽

Vol 417 ◽

pp. 290-301 ◽

Author(s):

G. Rajchakit ◽

P. Chanthorn ◽

M. Niezabitowski ◽

R. Raja ◽

D. Baleanu ◽

...

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Impulsive Effects ◽

Passivity Analysis

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Asymptotic stability of delayed fractional-order neural networks with impulsive effects

Neurocomputing ◽

10.1016/j.neucom.2014.11.068 ◽

2015 ◽

Vol 154 ◽

pp. 239-244 ◽

Author(s):

Fei Wang ◽

Yongqing Yang ◽

Manfeng Hu

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Fractional Order ◽

Impulsive Effects

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Passivity Analysis of Fractional-order Neural Networks with Time-varying Parameter Uncertainties

2018 Chinese Automation Congress (CAC) ◽

10.1109/cac.2018.8623024 ◽

2018 ◽

Author(s):

Zhixia Ding

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Time Varying ◽

Parameter Uncertainties ◽

Passivity Analysis ◽

Time Varying Parameter

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Different impulsive effects on synchronization of fractional-order memristive BAM neural networks

Nonlinear Dynamics ◽

10.1007/s11071-018-4188-z ◽

2018 ◽

Vol 93 (2) ◽

pp. 233-250 ◽

Author(s):

Lingzhong Zhang ◽

Yongqing Yang

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Impulsive Effects ◽

Bam Neural Networks

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Global stability analysis of fractional-order fuzzy BAM neural networks with time delay and impulsive effects

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2019.104853 ◽

2019 ◽

Vol 78 ◽

pp. 104853 ◽

Author(s):

M. Syed Ali ◽

G. Narayanan ◽

Selcuk Sevgen ◽

Vineet Shekher ◽

Sabri Arik

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Global Stability ◽

Fractional Order ◽

Impulsive Effects ◽

Bam Neural Networks ◽

Global Stability Analysis ◽

Fuzzy Bam Neural Networks

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Passivity analysis of coupled inertial neural networks with time-varying delays and impulsive effects

Pramana ◽

10.1007/s12043-018-1629-7 ◽

2018 ◽

Vol 91 (5) ◽

Author(s):

Xiao-shuai Ding ◽

Jin-de Cao ◽

Fuad E Alsaadi

Keyword(s):

Neural Networks ◽

Impulsive Effects ◽

Time Varying ◽

Passivity Analysis ◽

Inertial Neural Networks

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Passivity Analysis of Fractional-Order Neural Networks with Interval Parameter Uncertainties via an Interval Matrix Polytope Approach

Neurocomputing ◽

10.1016/j.neucom.2021.12.106 ◽

2022 ◽

Author(s):

Shasha Xiao ◽

Zhanshan Wang ◽

Changlai Wang

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Interval Matrix ◽

Interval Parameter ◽

Parameter Uncertainties ◽

Passivity Analysis

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Passivity Analysis of Fractional-Order Neural Networks with Time-Varying Delay Based on LMI Approach

Circuits Systems and Signal Processing ◽

10.1007/s00034-020-01450-6 ◽

2020 ◽

Vol 39 (12) ◽

pp. 5906-5925

Author(s):

Nguyen Huu Sau ◽

Mai Viet Thuan ◽

Nguyen Thi Thanh Huyen

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Time Varying ◽

Lmi Approach ◽

Time Varying Delay ◽

Passivity Analysis ◽

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LMI Conditions for Fractional Exponential Stability and Passivity Analysis of Uncertain Hopfield Conformable Fractional-Order Neural Networks

Neural Processing Letters ◽

10.1007/s11063-021-10683-8 ◽

2022 ◽

Author(s):

Nguyen Thi Thanh Huyen ◽

Nguyen Huu Sau ◽

Mai Viet Thuan

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Fractional Order ◽

Passivity Analysis

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Asymptotical synchronization analysis of fractional-order complex neural networks with non-delayed and delayed couplings

Neurocomputing ◽

10.1016/j.neucom.2021.03.001 ◽

2021 ◽

Author(s):

Li Li ◽

Xinge Liu ◽

Meilan Tang ◽

Shuailei Zhang ◽

Xianming Zhang

Keyword(s):

Neural Networks ◽

Fractional Order ◽

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Exponential synchronization of fractional-order reaction-diffusion coupled neural networks with hybrid delay-dependent impulses

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2021.02.003 ◽

2021 ◽

Author(s):

Shuai Yang ◽

Haijun Jiang ◽

Cheng Hu ◽

Juan Yu

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Reaction Diffusion ◽

Order Reaction ◽

Exponential Synchronization ◽

Coupled Neural Networks ◽

Delay Dependent

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