Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.3028136 ◽

2020 ◽

pp. 1-13 ◽

Author(s):

Yang Shi ◽

Long Jin ◽

Shuai Li ◽

Jian Li ◽

Jipeng Qiang ◽

...

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Discrete Form ◽

Sylvester Matrix ◽

Matrix Problems

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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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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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Qualitative Analysis of General Discrete-Time Recurrent Neural Networks with Impulses

Advances in Neural Networks – ISNN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01507-6_16 ◽

2009 ◽

pp. 128-137

Author(s):

Xinquan Zhao

Keyword(s):

Neural Networks ◽

Qualitative Analysis ◽

Discrete Time ◽

Recurrent Neural Networks

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Global asymptotic stability of discrete-time recurrent neural networks

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187) ◽

10.1109/cdc.2000.912881 ◽

2002 ◽

Author(s):

Sanqing Hu ◽

Jun Wang

Keyword(s):

Neural Networks ◽

Asymptotic Stability ◽

Discrete Time ◽

Global Asymptotic Stability ◽

Recurrent Neural Networks

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Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks

Artificial Neural Networks — ICANN 2001 - Lecture Notes in Computer Science ◽

10.1007/3-540-44668-0_100 ◽

2001 ◽

pp. 719-724 ◽

Author(s):

Juan Antonio Pérez-Ortiz ◽

Jorge Calera-Rubio ◽

Mikel L. Forcada

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Recurrent Neural Networks ◽

Symbolic Sequence ◽

Sequence Prediction

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