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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23058
Abstract: On account of the rapid progress of zeroing neural network (ZNN) and the extensive use of fuzzy logic system (FLS), this article proposes an intelligent fuzzy robustness ZNN (IFR‐ZNN) model and applies it to solving…
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Keywords:
ifr znn;
fixed time;
znn;
znn model ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.017
Abstract: Abstract Zeroing neural network (ZNN, or termed Zhang neural network after its inventor), being a special type of neurodynamic methodology, has shown powerful abilities to solve a great variety of time-varying problems with monotonically increasing…
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Keywords:
znn;
nonconvex function;
inequality;
neural network ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.11.039
Abstract: Abstract Zhang neural network (ZNN), being a special type of recurrent neural network, has shown powerful abilities to solve a great variety of continuous time-varying problems. In order to solve future problems (or termed discrete…
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Keywords:
znn;
type solving;
dznn models;
future problems ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.037
Abstract: Abstract The time-varying Lyapunov equation is an important problem that has been extensively employed in the engineering field and the Zeroing Neural Network (ZNN) is a powerful tool for solving such problem. However, unpredictable noises…
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Keywords:
znn;
time varying;
varying lyapunov;
time ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941961
Abstract: Based on zeroing neural network (ZNN), this paper designs two nonlinear activated ZNN (NAZNN) models for time-varying linear matrix equation through taking two new activation functions into consideration. The purpose of constructing the novel models…
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Keywords:
linear matrix;
time;
convergence;
varying linear ... See more keywords
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Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.2996215
Abstract: A variety of realistic industrial problems can be constructed into quadratic programming (QP) problems, especially their time-varying versions. A zeroing neural network (ZNN) as a good approach for dynamic problems can solve QP problems subject…
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Keywords:
model;
quadratic programming;
znn;
znn model ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3093115
Abstract: Motivated from the convergence capability achieved by gradient neural network (GNN) and zeroing neural network (ZNN) for matrix inversion, in this article, a novel hybrid GNN-ZNN (H-GNN-ZNN) model is proposed by introducing a fuzzy adaptive…
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Keywords:
gnn znn;
znn;
znn model;
fuzzy adaptive ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3109426
Abstract: Obstacle avoidance is usually an additional task for a redundant manipulator when the end-effector tracking task is performed, which guarantees the safety of the redundant manipulator. By formulating and combining the end-effector tracking task and…
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Keywords:
znn;
end effector;
obstacle avoidance;
effector tracking ... See more keywords
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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3106640
Abstract: As a category of the recurrent neural network (RNN), zeroing neural network (ZNN) can effectively handle time-variant optimization issues. Compared with the fixed-parameter ZNN that needs to be adjusted frequently to achieve good performance, the…
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Keywords:
variable parameter;
time;
convergence;
znn ... See more keywords
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2
Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3233050
Abstract: As an extension of the Lyapunov equation, the time-varying plural Lyapunov tensor equation (TV-PLTE) can carry multidimensional data, which can be solved by zeroing neural network (ZNN) models effectively. However, existing ZNN models only focus…
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Keywords:
time;
znn models;
upper bound;
znn ... See more keywords
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Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3263263
Abstract: Time-variant quadratic programming (QP) with multi-type constraints including equality, inequality, and bound constraints is ubiquitous in practice. In the literature, there exist a few zeroing neural networks (ZNNs) that are applicable to time-variant QPs with…
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Keywords:
time;
type constraints;
znn;
multi type ... See more keywords