Sign Up to like & get
recommendations!
1
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…
read more here.
Keywords:
ifr znn;
fixed time;
znn;
znn model ... See more keywords
Sign Up to like & get
recommendations!
0
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…
read more here.
Keywords:
znn;
nonconvex function;
inequality;
neural network ... See more keywords
Sign Up to like & get
recommendations!
1
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…
read more here.
Keywords:
znn;
type solving;
dznn models;
future problems ... See more keywords
Sign Up to like & get
recommendations!
0
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…
read more here.
Keywords:
znn;
time varying;
varying lyapunov;
time ... See more keywords
Sign Up to like & get
recommendations!
0
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…
read more here.
Keywords:
linear matrix;
time;
convergence;
varying linear ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3599835
Abstract: When performing delicate operations, robot fingers are often faced with the interference of unknown uncertainties and strong nonlinear friction dynamics, and advanced control strategies are needed to compensate for the uncertainties and nonlinear dynamics in…
read more here.
Keywords:
fixed time;
algorithm;
friction;
estimation ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2023.3241393
Abstract: Nowadays, there are time-critical applications involving linear equations, such as the fault reconstruction problem, where hard response time constraints and robustness to external disturbances are expected. A zeroing neural network (ZNN) is one of the…
read more here.
Keywords:
strictly predefined;
linear equations;
time;
predefined time ... See more keywords
Sign Up to like & get
recommendations!
0
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…
read more here.
Keywords:
model;
quadratic programming;
znn;
znn model ... See more keywords
Sign Up to like & get
recommendations!
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…
read more here.
Keywords:
gnn znn;
znn;
znn model;
fuzzy adaptive ... See more keywords
Sign Up to like & get
recommendations!
1
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…
read more here.
Keywords:
znn;
end effector;
obstacle avoidance;
effector tracking ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3431046
Abstract: As the zeroing neural network (ZNN) approach needs human intervention to handle temporally variant quadratic program (TVQP) problem, which results in less flexibility and convenience, especially considering the situation of tolerated precision given. Aiming at…
read more here.
Keywords:
model;
variant quadratic;
znn;
adaptive znn ... See more keywords