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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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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Exponential state estimator design for discrete-time neural networks with discrete and distributed time-varying delays

10.1002/cplx.21494 ◽

2014 ◽

Vol 20 (1) ◽

pp. 38-48 ◽

Author(s):

Qihui Duan ◽

Ju H. Park ◽

Zheng-Guang Wu

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Time Varying ◽

State Estimator ◽

Estimator Design

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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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State estimator design of cellular neural networks with neutral time-varying delays

2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) ◽

10.1109/itnec.2017.8285051 ◽

2017 ◽

Author(s):

Jia Liu ◽

Wenyu Lian ◽

Yunxi Zhang

Keyword(s):

Neural Networks ◽

Cellular Neural Networks ◽

Time Varying ◽

State Estimator ◽

Estimator Design

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State estimator design for BAM neural networks with time-varying delays

2011 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2011.5968361 ◽

2011 ◽

Author(s):

Aihua Liu ◽

Jinhui Liu ◽

Yishun Huang

Keyword(s):

Neural Networks ◽

Time Varying ◽

Bam Neural Networks ◽

State Estimator ◽

Estimator Design

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Finite-time sampled-data synchronization for uncertain neutral-type semi-Markovian jump neural networks with mixed time-varying delays

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126197 ◽

2021 ◽

Vol 403 ◽

pp. 126197

Author(s):

Yao Wang ◽

Jun Guo ◽

Guobao Liu ◽

Junwei Lu ◽

Fangyuan Li

Keyword(s):

Neural Networks ◽

Finite Time ◽

Neutral Type ◽

Data Synchronization ◽

Time Varying ◽

Sampled Data ◽

Markovian Jump ◽

Markovian Jump Neural Networks

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Non-reduced order strategies for global dissipativity of memristive neutral-type inertial neural networks with mixed time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2020.12.120 ◽

2021 ◽

Vol 436 ◽

pp. 174-183

Author(s):

Kai Wu ◽

Jigui Jian

Keyword(s):

Neural Networks ◽

Neutral Type ◽

Time Varying ◽

Reduced Order ◽

Inertial Neural Networks

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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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Stability of Complex-Valued Neutral-Type Neural Networks with Time-Varying Delays

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-23756-1_49 ◽

2019 ◽

pp. 393-400

Author(s):

Manchun Tan ◽

Zhiqiang Song ◽

Xuemei Zhang

Keyword(s):

Neural Networks ◽

Neutral Type ◽

Time Varying ◽

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On Robust Stability for Stochastic Neural Networks of Neutral-Type with Uncertainties and Time-Varying Delays

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.457-458.716 ◽

2012 ◽

Vol 457-458 ◽

pp. 716-722

Author(s):

Guo Quan Liu ◽

Simon X. Yang

Keyword(s):

Neural Networks ◽

Robust Stability ◽

Neutral Type ◽

Linear Matrix ◽

Stochastic Neural Networks ◽

Time Varying ◽

Stability Criteria ◽

Analysis Problem ◽

Analysis Technique ◽

Robust Stability Analysis

This paper is concerned with the robust stability analysis problem for stochastic neural networks of neutral-type with uncertainties and time-varying delays. Novel stability criteria are proposed in terms of linear matrix inequality (LMI) by defining a Lyapunov-Krasovskii functional and using the stochastic analysis technique. Two examples are given to show the effectiveness of the obtained conditions.

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