Less conservative stability condition for uncertain discrete-time recurrent neural networks with time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2015.09.030 ◽

2016 ◽

Vol 173 ◽

pp. 1578-1588 ◽

Author(s):

De-hui Lin ◽

Jun Wu ◽

Jian-ning Li

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks ◽

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Novel global exponential stability condition for discrete-time recurrent neural networks with random time-varying delays:

2010 17th Iranian Conference of Biomedical Engineering (ICBME) ◽

10.1109/icbme.2010.5705031 ◽

2010 ◽

Author(s):

Maryam Fattahi ◽

Hamidreza Momeni

Keyword(s):

Neural Networks ◽

Exponential Stability ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks ◽

Global Exponential Stability ◽

Random Time ◽

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New robust stability condition for discrete-time recurrent neural networks with time-varying delays and nonlinear perturbations

Neurocomputing ◽

10.1016/j.neucom.2016.09.024 ◽

2017 ◽

Vol 219 ◽

pp. 203-209 ◽

Author(s):

Changchun Hua ◽

Shuangshuang Wu ◽

Xinping Guan

Keyword(s):

Neural Networks ◽

Robust Stability ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks ◽

Time Varying ◽

Nonlinear Perturbations

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A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays

Physics Letters A ◽

10.1016/j.physleta.2007.03.088 ◽

2007 ◽

Vol 368 (1-2) ◽

pp. 134-145 ◽

Author(s):

Qiankun Song ◽

Zidong Wang

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Dynamics Analysis ◽

Time Varying ◽

Lmi Approach ◽

Delay Dependent

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On designing state estimators for discrete-time recurrent neural networks with interval-like time-varying delays

Neurocomputing ◽

10.1016/j.neucom.2018.01.054 ◽

2018 ◽

Vol 286 ◽

pp. 67-74 ◽

Author(s):

Lili Liu ◽

Shihua Zhu ◽

Baowei Wu ◽

Yue-E Wang

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Time Varying ◽

State Estimators

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A new approach to stability analysis of discrete-time recurrent neural networks with time-varying delay

Neurocomputing ◽

10.1016/j.neucom.2008.11.009 ◽

2009 ◽

Vol 72 (10-12) ◽

pp. 2563-2568 ◽

Author(s):

Chunwei Song ◽

Huijun Gao ◽

Wei Xing Zheng

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Time Varying ◽

New Approach ◽

Time Varying Delay ◽

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Design of delay-range-dependent state estimators for discrete-time recurrent neural networks with interval time-varying delay

2008 American Control Conference ◽

10.1109/acc.2008.4587154 ◽

2008 ◽

Author(s):

Chien-Yu Lu ◽

Jui-Chuan Cheng ◽

Te-Jen Su

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Time Varying ◽

Interval Time ◽

Time Varying Delay ◽

State Estimators ◽

Varying Delay ◽

Dependent State

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New global asymptotic stability of discrete-time recurrent neural networks with multiple time-varying delays in the leakage term and impulsive effects

Neurocomputing ◽

10.1016/j.neucom.2016.06.040 ◽

2016 ◽

Vol 214 ◽

pp. 420-429 ◽

Author(s):

K. Balasundaram ◽

R. Raja ◽

Quanxin Zhu ◽

S. Chandrasekaran ◽

Hongwei Zhou

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Discrete Time ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks ◽

Impulsive Effects ◽

Multiple Time ◽

Time Varying ◽

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Improved Free-Weighting Matrix Approach for Stability Analysis of Discrete-Time Recurrent Neural Networks With Time-Varying Delay

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2008.921597 ◽

2008 ◽

Vol 55 (7) ◽

pp. 690-694 ◽

Author(s):

Min Wu ◽

Fang Liu ◽

Peng Shi ◽

Yong He ◽

Ryuichi Yokoyama

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Time Varying ◽

Matrix Approach ◽

Time Varying Delay ◽

Weighting Matrix ◽

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Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889619 ◽

2014 ◽

Author(s):

Wei Zhou ◽

Jacek M. Zurada

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Stability Condition ◽

Recurrent Neural Networks

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A delay-range-dependent approach to global robust stability for discrete-time uncertain recurrent neural networks with interval time-varying delay

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1243/09596518jsce451 ◽

2007 ◽

Vol 221 (8) ◽

pp. 1123-1132 ◽

Author(s):

C. Y. Lu

Keyword(s):

Neural Networks ◽

Robust Stability ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Time Varying ◽

Interval Time ◽

Time Varying Delay ◽

Global Robust Stability ◽

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