Event-triggered H∞ synchronization for switched discrete time delayed recurrent neural networks with actuator constraints and nonlinear perturbations

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.01.016 ◽

2020 ◽

Vol 357 (7) ◽

pp. 4079-4108

Author(s):

R. Vadivel ◽

M. Syed Ali ◽

Young Hoon Joo

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Nonlinear Perturbations ◽

Actuator Constraints ◽

Event Triggered

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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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Adaptive control of discrete-time nonlinear systems using recurrent neural networks

IEE Proceedings - Control Theory and Applications ◽

10.1049/ip-cta:19949976 ◽

1994 ◽

Vol 141 (3) ◽

pp. 169-176 ◽

Author(s):

L. Jin ◽

M.M. Gupta ◽

P.N. Nikiforuk

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Nonlinear Systems ◽

Discrete Time ◽

Recurrent Neural Networks

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Universal approximation using dynamic recurrent neural networks: discrete-time version

Proceedings of ICNN'95 - International Conference on Neural Networks ◽

10.1109/icnn.1995.488134 ◽

2002 ◽

Author(s):

Liang Jin ◽

M.M. Gupta ◽

P.N. Nikiforuk

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Universal Approximation

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Exponential Lagrange stability for impulses in discrete-time delayed recurrent neural networks

International Journal of Systems Science ◽

10.1080/00207721.2018.1543475 ◽

2018 ◽

Vol 50 (1) ◽

pp. 50-59

Author(s):

Wenlin Jiang ◽

Liangliang Li ◽

Zhengwen Tu ◽

Yuming Feng

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Lagrange Stability

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Improved upper bound on step-size parameters of discrete-time recurrent neural networks for linear inequality and equation system

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/tcsi.2002.1001961 ◽

2002 ◽

Vol 49 (5) ◽

pp. 695-698 ◽

Author(s):

Xue-Bin Liang ◽

Shiu Kit Tso

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Upper Bound ◽

Recurrent Neural Networks ◽

Linear Inequality ◽

Equation System ◽

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DISCRETE-TIME RECURRENT NEURAL NETWORKS AND ITS APPLICATION TO COMPRESSION OF INFRA-RED SPECTRUM

Neural Network World ◽

10.14311/nnw.2011.21.023 ◽

2011 ◽

Vol 21 (5) ◽

pp. 393-406

Author(s):

Leong-Kwan Li ◽

S. Shao

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

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Adaptive event-triggered H∞ filtering for discrete-time delayed neural networks with randomly occurring missing measurements

Signal Processing ◽

10.1016/j.sigpro.2018.07.027 ◽

2018 ◽

Vol 153 ◽

pp. 221-230 ◽

Author(s):

Huijiao Wang ◽

Anke Xue

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Missing Measurements ◽

Delayed Neural Networks ◽

Event Triggered

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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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Dissipative State Estimation for Delayed Discrete-Time Memristive Neural Networks Under Dynamic Event-Triggered Mechanisms and Deception Attacks

10.1109/icnc52316.2021.9607893 ◽

2021 ◽

Author(s):

Huimin Tao ◽

Hongjian Liu ◽

Jiali Zhu ◽

Hailong Tan

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered ◽

Dissipative State

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