Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control

M. Syed Ali; N. Gunasekaran; R. Saravanakumar

doi:10.1007/s00521-016-2682-0

Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control

Neural Computing and Applications ◽

10.1007/s00521-016-2682-0 ◽

2016 ◽

Vol 30 (2) ◽

pp. 595-605 ◽

Cited By ~ 5

Author(s):

M. Syed Ali ◽

N. Gunasekaran ◽

R. Saravanakumar

Keyword(s):

Neural Networks ◽

Sampled Data ◽

Markovian Jump ◽

Delayed Neural Networks ◽

Markovian Jump Parameters ◽

Data Control ◽

Sampled Data Control ◽

Passivity And Passification

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Design of Stochastic Passivity and Passification for Delayed BAM Neural Networks with Markov Jump Parameters via Non-uniform Sampled-Data Control

Neural Processing Letters ◽

10.1007/s11063-020-10394-6 ◽

2021 ◽

Author(s):

Nallappan Gunasekaran ◽

M. Syed Ali

Keyword(s):

Neural Networks ◽

Bam Neural Networks ◽

Sampled Data ◽

Markov Jump ◽

Data Control ◽

Sampled Data Control ◽

Passivity And Passification

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Robust synchronization of uncertain delayed neural networks with packet dropout using sampled-data control

Applied Intelligence ◽

10.1007/s10489-021-02388-1 ◽

2021 ◽

Author(s):

Ganlei Zhang ◽

Jiayong Zhang ◽

Wei Li ◽

Chao Ge ◽

Yajuan Liu

Keyword(s):

Neural Networks ◽

Packet Dropout ◽

Sampled Data ◽

Delayed Neural Networks ◽

Robust Synchronization ◽

Data Control ◽

Sampled Data Control

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Stochastic sampled-data control for state estimation of time-varying delayed neural networks

Neural Networks ◽

10.1016/j.neunet.2013.05.001 ◽

2013 ◽

Vol 46 ◽

pp. 99-108 ◽

Cited By ~ 129

Author(s):

Tae H. Lee ◽

Ju H. Park ◽

O.M. Kwon ◽

S.M. Lee

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Sampled Data ◽

Delayed Neural Networks ◽

Data Control ◽

Sampled Data Control ◽

Estimation Of Time

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State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control

Fuzzy Sets and Systems ◽

10.1016/j.fss.2016.03.012 ◽

2017 ◽

Vol 306 ◽

pp. 87-104 ◽

Cited By ~ 71

Author(s):

M. Syed Ali ◽

N. Gunasekaran ◽

Quanxin Zhu

Keyword(s):

Neural Networks ◽

State Estimation ◽

Markovian Jumping Parameters ◽

Sampled Data ◽

Markovian Jumping ◽

Delayed Neural Networks ◽

Data Control ◽

Sampled Data Control

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Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-015-0423-9 ◽

2015 ◽

Vol 7 (1) ◽

pp. 157-169 ◽

Cited By ~ 32

Author(s):

Ruoxia Li ◽

Hongzhi Wei

Keyword(s):

Neural Networks ◽

Reaction Diffusion ◽

Sampled Data ◽

Memristive Neural Networks ◽

Markovian Jump ◽

Data Control ◽

Sampled Data Control

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H∞ State Estimation of Static Delayed Neural Networks with Non-fragile Sampled-data Control

The Transactions of The Korean Institute of Electrical Engineers ◽

10.5370/kiee.2017.66.1.171 ◽

2017 ◽

Vol 66 (1) ◽

pp. 171-178

Author(s):

Yajuan Liu ◽

Sangmoon Lee

Keyword(s):

Neural Networks ◽

State Estimation ◽

Sampled Data ◽

Delayed Neural Networks ◽

Data Control ◽

Sampled Data Control

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STABILITY OF T-S FUZZY MIXED DELAYED NEURAL NETWORKS WITH MARKOVIAN JUMPING PARAMETERS THROUGH RELIABLE SAMPLED DATA CONTROL

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.8.95 ◽

2020 ◽

Vol 9 (8) ◽

pp. 6277-6290

Author(s):

D. Ajay ◽

R. Sugumar

Keyword(s):

Neural Networks ◽

Markovian Jumping Parameters ◽

Sampled Data ◽

Markovian Jumping ◽

Delayed Neural Networks ◽

Data Control ◽

Sampled Data Control

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Aperiodic Sampled-Data Control for Exponential Stabilization of Delayed Neural Networks: A Refined Two-Sided Looped-Functional Approach

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2020.2983803 ◽

2020 ◽

Vol 67 (12) ◽

pp. 3217-3221 ◽

Cited By ~ 5

Author(s):

Lan Yao ◽

Zhen Wang ◽

Xia Huang ◽

Yuxia Li ◽

Hao Shen ◽

...

Keyword(s):

Neural Networks ◽

Functional Approach ◽

Exponential Stabilization ◽

Sampled Data ◽

Delayed Neural Networks ◽

Data Control ◽

Sampled Data Control

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Delay-dependent $${\mathcal {H}}_\infty$$ H ∞ performance state estimation of static delayed neural networks using sampled-data control

Neural Computing and Applications ◽

10.1007/s00521-016-2671-3 ◽

2016 ◽

Vol 30 (2) ◽

pp. 539-550 ◽

Cited By ~ 6

Author(s):

M. Syed Ali ◽

N. Gunasekaran ◽

O. M. Kwon

Keyword(s):

Neural Networks ◽

State Estimation ◽

Sampled Data ◽

Delayed Neural Networks ◽

Data Control ◽

Sampled Data Control ◽

Delay Dependent

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Aperiodic Sampled-data Control for Exponential Synchronization of Chaotic Delayed Neural Networks with Exponentially Decaying Gain

International Journal of Control Automation and Systems ◽

10.1007/s12555-019-0818-6 ◽

2020 ◽

Vol 18 (11) ◽

pp. 2898-2906

Author(s):

Jikai Wang ◽

Xia Huang ◽

Zhen Wang ◽

Jianwei Xia ◽

Hao Shen

Keyword(s):

Neural Networks ◽

Exponential Synchronization ◽

Sampled Data ◽

Delayed Neural Networks ◽

Data Control ◽

Sampled Data Control

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