Analysis and design concerning state estimator for BAM neural networks with time-varying delays of neutral type

2016 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2016.7531500 ◽

2016 ◽

Author(s):

Jia Liu ◽

Yunxi Zhang ◽

Kuansheng Zou ◽

Jigong Li

Keyword(s):

Neural Networks ◽

Neutral Type ◽

Time Varying ◽

Bam Neural Networks ◽

State Estimator ◽

Analysis And Design

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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 ◽

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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Global exponential stability for neutral-type BAM neural networks with time-varying delays

International Journal of Computer Mathematics ◽

10.1080/00207160802588544 ◽

2010 ◽

Vol 87 (9) ◽

pp. 2064-2075 ◽

Author(s):

P. Balasubramaniam ◽

R. Rakkiyappan

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Global Exponential Stability ◽

Neutral Type ◽

Time Varying ◽

Bam Neural Networks

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Extended state estimator design method for neutral-type neural networks with time-varying delays

International Journal of Systems Control and Communications ◽

10.1504/ijscc.2012.045928 ◽

2012 ◽

Vol 4 (1/2) ◽

pp. 1 ◽

Author(s):

Magdi Sadek Mahmoud

Keyword(s):

Neural Networks ◽

Design Method ◽

Neutral Type ◽

Time Varying ◽

Extended State ◽

State Estimator ◽

Estimator Design

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Stability conditions for uncertain BAM neural networks of neutral-type with time-varying delays

IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC'11) ◽

10.1109/coginf.2011.6016135 ◽

2011 ◽

Author(s):

Yi Tang ◽

Guoquan Liu ◽

Runhua Wang ◽

Yucheng Liu

Keyword(s):

Neural Networks ◽

Neutral Type ◽

Stability Conditions ◽

Time Varying ◽

Bam Neural Networks

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Stability analysis for neutral-type inertial BAM neural networks with time-varying delays

Nonlinear Dynamics ◽

10.1007/s11071-018-4148-7 ◽

2018 ◽

Vol 92 (4) ◽

pp. 1583-1598 ◽

Author(s):

Fengyan Zhou ◽

Hongxing Yao

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Neutral Type ◽

Time Varying ◽

Bam Neural Networks

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Stochastic stability of neutral-type Markovian-jumping BAM neural networks with time varying delays

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2018.09.035 ◽

2019 ◽

Vol 349 ◽

pp. 142-156 ◽

Author(s):

M. Syed Ali ◽

J. Yogambigai ◽

S. Saravanan ◽

S. Elakkia

Keyword(s):

Neural Networks ◽

Stochastic Stability ◽

Neutral Type ◽

Time Varying ◽

Bam Neural Networks ◽

Markovian Jumping

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Attracting and quasi-invariant sets for BAM neural networks of neutral-type with time-varying and infinite distributed delays

Neurocomputing ◽

10.1016/j.neucom.2014.03.015 ◽

2014 ◽

Vol 140 ◽

pp. 265-272 ◽

Author(s):

Zhihua Zhao ◽

Jigui Jian

Keyword(s):

Neural Networks ◽

Neutral Type ◽

Distributed Delays ◽

Invariant Sets ◽

Time Varying ◽

Bam Neural Networks ◽

Infinite Distributed Delays

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Exponential Stability for the Neutral-type Inertial BAM Neural Networks with Time-varying Delays

Journal of Physics Conference Series ◽

10.1088/1742-6596/1850/1/012116 ◽

2021 ◽

Vol 1850 (1) ◽

pp. 012116

Author(s):

J Thipcha ◽

S Pinjai

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Neutral Type ◽

Time Varying ◽

Bam Neural Networks

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A New Sampled-Data State Estimator for Neural Networks of Neutral-Type with Time-Varying Delays

Advances in Neural Networks – ISNN 2015 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-25393-0_14 ◽

2015 ◽

pp. 121-128

Author(s):

Xianyun Xu ◽

Changchun Yang ◽

Manfeng Hu ◽

Yongqing Yang ◽

Li Li

Keyword(s):

Neural Networks ◽

Neutral Type ◽

Time Varying ◽

Sampled Data ◽

State Estimator

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New approach to state estimator for discrete-time BAM neural networks with time-varying delay

Advances in Difference Equations ◽

10.1186/s13662-015-0498-3 ◽

2015 ◽

Vol 2015 (1) ◽

Author(s):

Saibing Qiu ◽

Xinge Liu ◽

Yanjun Shu

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Time Varying ◽

Bam Neural Networks ◽

State Estimator ◽

New Approach ◽

Time Varying Delay ◽

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