Discrete-time zeroing neural network for solving time-varying Sylvester-transpose matrix inequation via exp-aided conversion

Neurocomputing ◽

10.1016/j.neucom.2019.12.053 ◽

2020 ◽

Vol 386 ◽

pp. 126-135

Author(s):

Yunong Zhang ◽

Yihong Ling ◽

Shuai Li ◽

Min Yang ◽

Ning Tan

Keyword(s):

Neural Network ◽

Discrete Time ◽

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Time-Varying Polar Decomposition by Continuous-Time Model and Discrete-Time Algorithm of Zeroing Neural Network Using Zhang Time Discretization (ZTD)

10.1109/icicip53388.2021.9642222 ◽

2021 ◽

Author(s):

Zanyu Tang ◽

Liangjie Ming ◽

Yunong Zhang ◽

Runhao Shi

Keyword(s):

Neural Network ◽

Discrete Time ◽

Continuous Time ◽

Polar Decomposition ◽

Time Discretization ◽

Time Algorithm ◽

Time Varying ◽

Continuous Time Model ◽

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New Discrete-Time Zeroing Neural Network for Solving Time-Varying System of Linear Equation and Inequality

10.1109/ccdc52312.2021.9602175 ◽

2021 ◽

Author(s):

Jianhuang Cai ◽

Qingshan Feng ◽

Dongsheng Guo

Keyword(s):

Neural Network ◽

Linear Equation ◽

Discrete Time ◽

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Solving discrete time-varying complex division using recurrent neural network with disturbance suppression

10.23919/icac50006.2021.9594070 ◽

2021 ◽

Author(s):

Yang Shi ◽

Wenhan Zhao ◽

Jie Wang ◽

Jian Li ◽

Dimitrios K. Gerontitis

Keyword(s):

Neural Network ◽

Discrete Time ◽

Recurrent Neural Network ◽

Time Varying ◽

Disturbance Suppression

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Periodic Solution to the Discrete-Time Counterpart of a Neutral-Type Cellular Neural Network with Time-Varying Delays and Impulses

10.1109/iceccme52200.2021.9591047 ◽

2021 ◽

Author(s):

Zlatinka Covacheva ◽

Valery Covachev

Keyword(s):

Neural Network ◽

Periodic Solution ◽

Discrete Time ◽

Neutral Type ◽

Cellular Neural Network ◽

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Zhang neural network, Getz–Marsden dynamic system, and discrete-time algorithms for time-varying matrix inversion with application to robots' kinematic control

Neurocomputing ◽

10.1016/j.neucom.2012.05.012 ◽

2012 ◽

Vol 97 ◽

pp. 22-32 ◽

Author(s):

Dongsheng Guo ◽

Yunong Zhang

Keyword(s):

Neural Network ◽

Dynamic System ◽

Discrete Time ◽

Matrix Inversion ◽

Time Varying ◽

Kinematic Control ◽

Zhang Neural Network

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Discrete-time zeroing neural network of O(τ4) pattern for online solving time-varying nonlinear optimization problem: Application to manipulator motion generation

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2021.07.006 ◽

2021 ◽

Author(s):

Zhongbo Sun ◽

Tian Shi ◽

Long Jin ◽

Bangcheng Zhang ◽

Zaixiang Pang ◽

...

Keyword(s):

Neural Network ◽

Nonlinear Optimization ◽

Discrete Time ◽

Optimization Problem ◽

Time Varying ◽

Motion Generation ◽

Nonlinear Optimization Problem

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Discrete-Time Recurrent Neural Network for Solving Bound-Constrained Time-Varying Underdetermined Linear System

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2020.3012993 ◽

2020 ◽

pp. 1-1

Author(s):

Zhisheng Ma ◽

Dongsheng Guo

Keyword(s):

Neural Network ◽

Linear System ◽

Discrete Time ◽

Recurrent Neural Network ◽

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Novel Discrete-Time Zhang Neural Network for Time-Varying Matrix Inversion

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2017.2656941 ◽

2017 ◽

Vol 47 (8) ◽

pp. 2301-2310 ◽

Author(s):

Dongsheng Guo ◽

Zhuoyun Nie ◽

Laicheng Yan

Keyword(s):

Neural Network ◽

Discrete Time ◽

Matrix Inversion ◽

Time Varying ◽

Zhang Neural Network

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Discrete-Time Zhang Neural Network for Online Time-Varying Nonlinear Optimization With Application to Manipulator Motion Generation

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2014.2342260 ◽

2015 ◽

Vol 26 (7) ◽

pp. 1525-1531 ◽

Author(s):

Long Jin ◽

Yunong Zhang

Keyword(s):

Neural Network ◽

Nonlinear Optimization ◽

Discrete Time ◽

Time Varying ◽

Motion Generation ◽

Zhang Neural Network

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STABILITY ANALYSIS OF IMPULSIVE COHEN-GROSSBERG NEURAL NETWORK WITH UNBOUNDED DISCRETE TIME-VARYING DELAYS

International Journal of Neural Systems ◽

10.1142/s012906570700124x ◽

2007 ◽

Vol 17 (05) ◽

pp. 407-417 ◽

Author(s):

QIANKUN SONG ◽

JINDE CAO

Keyword(s):

Neural Network ◽

Stability Analysis ◽

Exponential Stability ◽

Discrete Time ◽

Global Exponential Stability ◽

Sufficient Conditions ◽

Time Varying ◽

Analysis Method ◽

Inequality Technique ◽

Stability Results

In this paper, the impulsive Cohen-Grossberg neural network with unbounded discrete time-varying delays is considered. By using the analysis method and inequality technique, several sufficient conditions are obtained to ensure the global exponential stability of the addressed neural network. These results generalize the existing relevant stability results. Two examples with simulations are given to show the effectiveness of the obtained results.

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