Enhanced result on stability analysis of randomly occurring uncertain parameters, leakage, and impulsive BAM neural networks with time-varying delays: Discrete-time case

C. Sowmiya; R. Raja; Jinde Cao; G. Rajchakit

doi:10.1002/acs.2883

Enhanced result on stability analysis of randomly occurring uncertain parameters, leakage, and impulsive BAM neural networks with time-varying delays: Discrete-time case

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.2883 ◽

2018 ◽

Vol 32 (7) ◽

pp. 1010-1039 ◽

Cited By ~ 7

Author(s):

C. Sowmiya ◽

R. Raja ◽

Jinde Cao ◽

G. Rajchakit

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Discrete Time ◽

Uncertain Parameters ◽

Time Varying ◽

Bam Neural Networks ◽

Discrete Time Case

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Exponential Stability Analysis for Discrete-Time Stochastic BAM Neural Networks with Time-Varying Delays

Advances in Neural Networks - ISNN 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13278-0_84 ◽

2010 ◽

pp. 659-666

Author(s):

Tiheng Qin ◽

Quanxiang Pan ◽

Yonggang Chen

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Exponential Stability ◽

Discrete Time ◽

Time Varying ◽

Bam Neural Networks

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Global exponential stability of BAM neural networks with time-varying delays: The discrete-time case

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2010.04.022 ◽

2011 ◽

Vol 16 (2) ◽

pp. 613-622 ◽

Cited By ~ 37

Author(s):

R. Raja ◽

S. Marshal Anthoni

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Discrete Time ◽

Global Exponential Stability ◽

Time Varying ◽

Bam Neural Networks ◽

Discrete Time Case

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Impulsive discrete-time BAM neural networks with random parameter uncertainties and time-varying leakage delays: an asymptotic stability analysis

Nonlinear Dynamics ◽

10.1007/s11071-017-4032-x ◽

2018 ◽

Vol 91 (4) ◽

pp. 2571-2592 ◽

Cited By ~ 9

Author(s):

C. Sowmiya ◽

R. Raja ◽

J. Cao ◽

G. Rajchakit

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Asymptotic Stability ◽

Discrete Time ◽

Random Parameter ◽

Time Varying ◽

Bam Neural Networks ◽

Parameter Uncertainties ◽

Leakage Delays

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Stability analysis in Lagrange sense for a class of BAM neural networks of neutral type with multiple time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2014.07.041 ◽

2015 ◽

Vol 149 ◽

pp. 930-939 ◽

Cited By ~ 32

Author(s):

Jigui Jian ◽

Baoxian Wang

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Neutral Type ◽

Multiple Time ◽

Time Varying ◽

Bam Neural Networks

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Stability Analysis for a Class of Impulsive Bidirectional Associative Memory (BAM) Neural Networks with Distributed Delays and Leakage Time-Varying Delays

Neural Processing Letters ◽

10.1007/s11063-018-9937-y ◽

2018 ◽

Vol 50 (1) ◽

pp. 851-885 ◽

Cited By ~ 9

Author(s):

Chaouki Aouiti ◽

El Abed Assali

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Associative Memory ◽

Distributed Delays ◽

Time Varying ◽

Bam Neural Networks ◽

Bidirectional Associative Memory

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Stability analysis of discrete-time stochastic neural networks with time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2009.10.017 ◽

2010 ◽

Vol 73 (4-6) ◽

pp. 740-748 ◽

Cited By ~ 43

Author(s):

Yan Ou ◽

Hongyang Liu ◽

Yulin Si ◽

Zhiguang Feng

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Discrete Time ◽

Stochastic Neural Networks ◽

Time Varying

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Exponential stability of impulsive discrete-time stochastic BAM neural networks with time-varying delay

Neurocomputing ◽

10.1016/j.neucom.2013.10.010 ◽

2014 ◽

Vol 131 ◽

pp. 323-330 ◽

Cited By ~ 28

Author(s):

Gai Sun ◽

Yu Zhang

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Discrete Time ◽

Time Varying ◽

Bam Neural Networks ◽

Time Varying Delay ◽

Varying Delay

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Stability analysis of almost periodic solutions of discontinuous BAM neural networks with hybrid time-varying delays and D operator

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2019.09.030 ◽

2019 ◽

Vol 356 (18) ◽

pp. 11605-11637 ◽

Cited By ~ 11

Author(s):

Fanchao Kong ◽

Quanxin Zhu ◽

Kai Wang ◽

Juan J. Nieto

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Periodic Solutions ◽

Time Varying ◽

Bam Neural Networks ◽

Almost Periodic Solutions ◽

Almost Periodic ◽

D Operator

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Global Mittag-Leffler stability analysis of impulsive fractional-order complex-valued BAM neural networks with time varying delays

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2019.105088 ◽

2020 ◽

Vol 83 ◽

pp. 105088 ◽

Cited By ~ 5

Author(s):

M. Syed Ali ◽

G. Narayanan ◽

Vineet Shekher ◽

Ahmed Alsaedi ◽

Bashir Ahmad

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Fractional Order ◽

Time Varying ◽

Order Complex ◽

Bam Neural Networks ◽

Complex Valued

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New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2011.11.035 ◽

2013 ◽

Vol 116 ◽

pp. 30-37 ◽

Cited By ~ 13

Author(s):

Mengzhuo Luo ◽

Shouming Zhong

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Discrete Time ◽

Stochastic Neural Networks ◽

Time Varying ◽

Delay Distribution

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