H∞ state estimation of generalised neural networks with interval time-varying delays

International Journal of Systems Science ◽

10.1080/00207721.2015.1135359 ◽

2016 ◽

Vol 47 (16) ◽

pp. 3888-3899 ◽

Author(s):

R. Saravanakumar ◽

M. Syed Ali ◽

Jinde Cao ◽

He Huang

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

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Delay-dependent robust asymptotic state estimation of Takagi–Sugeno fuzzy Hopfield neural networks with mixed interval time-varying delays

Expert Systems with Applications ◽

10.1016/j.eswa.2011.07.038 ◽

2012 ◽

Vol 39 (1) ◽

pp. 472-481 ◽

Author(s):

P. Balasubramaniam ◽

V. Vembarasan ◽

R. Rakkiyappan

Keyword(s):

Neural Networks ◽

State Estimation ◽

Hopfield Neural Networks ◽

Asymptotic State ◽

Time Varying ◽

Interval Time ◽

Delay Dependent ◽

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State estimation for neural networks of neutral-type with interval time-varying delays

Applied Mathematics and Computation ◽

10.1016/j.amc.2008.04.025 ◽

2008 ◽

Vol 203 (1) ◽

pp. 217-223 ◽

Author(s):

Ju H. Park ◽

O.M. Kwon ◽

S.M. Lee

Keyword(s):

Neural Networks ◽

State Estimation ◽

Neutral Type ◽

Time Varying ◽

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Exponential dissipativity analysis and state estimation for neural networks with mixed interval time-varying delays

2016 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2016.7530993 ◽

2016 ◽

Author(s):

Li Yang ◽

Lei Li ◽

Dekui Ge

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Interval Time ◽

Dissipativity Analysis

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H∞ state estimation for discrete-time neural networks with interval time-varying delays and probabilistic diverging disturbances

Neurocomputing ◽

10.1016/j.neucom.2014.11.029 ◽

2015 ◽

Vol 153 ◽

pp. 255-270 ◽

Author(s):

M.J. Park ◽

O.M. Kwon ◽

Ju H. Park ◽

S.M. Lee ◽

E.J. Cha

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Time Varying ◽

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NovelH∞state estimation of static neural networks with interval time-varying delays via augmented Lyapunov–Krasovskii functional

Neurocomputing ◽

10.1016/j.neucom.2015.07.038 ◽

2016 ◽

Vol 171 ◽

pp. 949-954 ◽

Author(s):

M. Syed Ali ◽

R. Saravanakumar ◽

Sabri Arik

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Interval Time ◽

Static Neural Networks

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Sampled-data state estimation of Markovian jump static neural networks with interval time-varying delays

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2018.03.047 ◽

2018 ◽

Vol 343 ◽

pp. 217-229 ◽

Author(s):

M. Syed Ali ◽

N. Gunasekaran

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Sampled Data ◽

Markovian Jump ◽

Interval Time ◽

Static Neural Networks

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Improved results on H ∞ $\mathcal{H}_{\infty}$ state estimation of static neural networks with interval time-varying delay

Journal of Inequalities and Applications ◽

10.1186/s13660-016-0990-7 ◽

2016 ◽

Vol 2016 (1) ◽

Author(s):

Yanjun Shu ◽

Xinge Liu

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Interval Time ◽

Time Varying Delay ◽

Static Neural Networks ◽

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State estimation of static neural networks with interval time-varying delays and sampled-data control

Computational and Applied Mathematics ◽

10.1007/s40314-017-0470-9 ◽

2017 ◽

Vol 37 (S1) ◽

pp. 183-201 ◽

Author(s):

M. Syed Ali ◽

N. Gunasekaran

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Sampled Data ◽

Interval Time ◽

Static Neural Networks ◽

Data Control ◽

Sampled Data Control

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State estimation for Markovian jumping recurrent neural networks with interval time-varying delays

Nonlinear Dynamics ◽

10.1007/s11071-009-9623-8 ◽

2009 ◽

Vol 60 (4) ◽

pp. 661-675 ◽

Author(s):

P. Balasubramaniam ◽

S. Lakshmanan ◽

S. Jeeva Sathya Theesar

Keyword(s):

Neural Networks ◽

State Estimation ◽

Recurrent Neural Networks ◽

Time Varying ◽

Markovian Jumping ◽

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Robust asymptotic state estimation of Takagi-Sugeno fuzzy Markovian jumping Hopfield neural networks with mixed interval time-varying delays

Mathematical Methods in the Applied Sciences ◽

10.1002/mma.1522 ◽

2011 ◽

Vol 34 (17) ◽

pp. 2197-2207 ◽

Author(s):

Xiaodi Li ◽

Rajan Rakkiyappan

Keyword(s):

Neural Networks ◽

State Estimation ◽

Hopfield Neural Networks ◽

Asymptotic State ◽

Time Varying ◽

Markovian Jumping ◽

Interval Time ◽

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