On stability criteria for neural networks with time-varying delay using Wirtinger-based multiple integral inequality

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2015.08.024 ◽

2015 ◽

Vol 352 (12) ◽

pp. 5627-5645 ◽

Author(s):

Tae H. Lee ◽

Ju H. Park ◽

Myeong-Jin Park ◽

Oh-Min Kwon ◽

Ho-Youl Jung

Keyword(s):

Neural Networks ◽

Integral Inequality ◽

Multiple Integral ◽

Time Varying ◽

Stability Criteria ◽

Time Varying Delay ◽

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Improved stability criteria for generalized neural networks with time-varying delay by auxiliary function-based integral inequality

Advances in Difference Equations ◽

10.1186/s13662-016-0922-3 ◽

2016 ◽

Vol 2016 (1) ◽

Author(s):

Zhi-Wen Chen ◽

Jun Yang ◽

Wen-Pin Luo

Keyword(s):

Neural Networks ◽

Integral Inequality ◽

Auxiliary Function ◽

Time Varying ◽

Stability Criteria ◽

Time Varying Delay ◽

Generalized Neural Networks ◽

Improved Stability ◽

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ENHANCED DELAY DEPENDENT STABILITY CRITERIA FOR NEURAL NETWORKS WITH TIME VARYING DELAY

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.6.24 ◽

2020 ◽

Vol 9 (6) ◽

pp. 3441-3451

Author(s):

R. Jeetendra ◽

G Uma

Keyword(s):

Neural Networks ◽

Time Varying ◽

Stability Criteria ◽

Time Varying Delay ◽

Delay Dependent ◽

Delay Dependent Stability ◽

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New stochastic robust stability criteria for time-varying delay neural networks with Markovian jump parameters

10.1109/chicc.2008.4605130 ◽

2008 ◽

Author(s):

Qiu Jiqing ◽

Shi Peng ◽

Yang Hongjiu ◽

Li Li ◽

Li Jie

Keyword(s):

Neural Networks ◽

Robust Stability ◽

Time Varying ◽

Stability Criteria ◽

Markovian Jump ◽

Markovian Jump Parameters ◽

Time Varying Delay ◽

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Further results on robust delay-range-dependent stability criteria for uncertain neural networks with interval time-varying delay

International Journal of Control Automation and Systems ◽

10.1007/s12555-013-0403-3 ◽

2015 ◽

Vol 13 (5) ◽

pp. 1140-1149 ◽

Author(s):

Pin-Lin Liu

Keyword(s):

Neural Networks ◽

Time Varying ◽

Stability Criteria ◽

Interval Time ◽

Time Varying Delay ◽

Uncertain Neural Networks ◽

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Improved Stability Criteria for Neural Networks with Two Additive Time-Varying Delay Components

Circuits Systems and Signal Processing ◽

10.1007/s00034-013-9555-x ◽

2013 ◽

Vol 32 (4) ◽

pp. 1977-1990 ◽

Author(s):

Huabin Chen

Keyword(s):

Neural Networks ◽

Time Varying ◽

Stability Criteria ◽

Time Varying Delay ◽

Improved Stability ◽

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A New Result on Stability Analysis of Recurrent Neural Networks with Time-Varying Delay Based on an Extended Delay-Dependent Integral Inequality

Neural Processing Letters ◽

10.1007/s11063-021-10601-y ◽

2021 ◽

Author(s):

Guoqiang Tan ◽

Zhanshan Wang

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Recurrent Neural Networks ◽

Integral Inequality ◽

Time Varying ◽

Time Varying Delay ◽

Delay Dependent ◽

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Dissipativity Analysis for Markovian Jump Neural Networks with Time-Varying Delay via An Extended Relaxed Integral Inequality

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483888 ◽

2018 ◽

Author(s):

LIN Wen-Juan ◽

HE Yong

Keyword(s):

Neural Networks ◽

Integral Inequality ◽

Time Varying ◽

Markovian Jump ◽

Time Varying Delay ◽

Dissipativity Analysis ◽

Varying Delay ◽

Markovian Jump Neural Networks

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Novel stability criteria for recurrent neural networks with time-varying delay

Neurocomputing ◽

10.1016/j.neucom.2014.01.024 ◽

2014 ◽

Vol 138 ◽

pp. 383-391 ◽

Author(s):

Meng-Di Ji ◽

Yong He ◽

Chuan-Ke Zhang ◽

Min Wu

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Time Varying ◽

Stability Criteria ◽

Time Varying Delay ◽

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Stability analysis of neural networks with time-varying delay: Enhanced stability criteria and conservatism comparisons

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2017.05.021 ◽

2018 ◽

Vol 54 ◽

pp. 118-135 ◽

Author(s):

Wen-Juan Lin ◽

Yong He ◽

Chuan-Ke Zhang ◽

Min Wu

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Time Varying ◽

Stability Criteria ◽

Time Varying Delay ◽

Varying Delay ◽

Enhanced Stability

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Relaxed Stability Criteria for Neural Networks With Time-Varying Delay Using Extended Secondary Delay Partitioning and Equivalent Reciprocal Convex Combination Techniques

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2952410 ◽

2020 ◽

Vol 31 (10) ◽

pp. 4157-4169 ◽

Author(s):

Shenquan Wang ◽

Wenchengyu Ji ◽

Yulian Jiang ◽

Derong Liu

Keyword(s):

Neural Networks ◽

Convex Combination ◽

Time Varying ◽

Stability Criteria ◽

Time Varying Delay ◽

Delay Partitioning ◽

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