RNN for solving perturbed time-varying underdetermined linear system with double bound limits on residual errors and state variables
Neural networks have been generally deemed as important tools to handle kinds of online
computing problems in recent decades, which have plenty of applications in science and …
computing problems in recent decades, which have plenty of applications in science and …
Integration-enhanced Zhang neural network for real-time-varying matrix inversion in the presence of various kinds of noises
Matrix inversion often arises in the fields of science and engineering. Many models for matrix
inversion usually assume that the solving process is free of noises or that the denoising has …
inversion usually assume that the solving process is free of noises or that the denoising has …
Robust zeroing neural-dynamics and its time-varying disturbances suppression model applied to mobile robot manipulators
This paper proposes a novel robust zeroing neural-dynamics (RZND) approach as well as
its associated model for solving the inverse kinematics problem of mobile robot …
its associated model for solving the inverse kinematics problem of mobile robot …
Novel discrete-time recurrent neural networks handling discrete-form time-variant multi-augmented Sylvester matrix problems and manipulator application
In this article, the discrete-form time-variant multi-augmented Sylvester matrix problems,
including discrete-form time-variant multi-augmented Sylvester matrix equation (MASME) …
including discrete-form time-variant multi-augmented Sylvester matrix equation (MASME) …
Neural-dynamic-method-based dual-arm CMG scheme with time-varying constraints applied to humanoid robots
We propose a dual-arm cyclic-motion-generation (DACMG) scheme by a neural-dynamic
method, which can remedy the joint-angle-drift phenomenon of a humanoid robot. In …
method, which can remedy the joint-angle-drift phenomenon of a humanoid robot. In …
Taylor Discretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators
In this paper, a new Taylor-type numerical differentiation formula is first presented to
discretize the continuous-time Zhang neural network (ZNN), and obtain higher …
discretize the continuous-time Zhang neural network (ZNN), and obtain higher …
Zeroing neural network for solving time-varying linear equation and inequality systems
F Xu, Z Li, Z Nie, H Shao, D Guo - IEEE transactions on neural …, 2018 - ieeexplore.ieee.org
A typical recurrent neural network called zeroing neural network (ZNN) was developed for
time-varying problem-solving in a previous study. Many applications result in time-varying …
time-varying problem-solving in a previous study. Many applications result in time-varying …
Saturation-allowed neural dynamics applied to perturbed time-dependent system of linear equations and robots
Neural networks as well as the related neural dynamics have been widely exploited to
conduct online computing operations for solving various problems in recent years. This …
conduct online computing operations for solving various problems in recent years. This …
Li-function activated ZNN with finite-time convergence applied to redundant-manipulator kinematic control via time-varying Jacobian matrix pseudoinversion
This paper presents and investigates the application of Zhang neural network (ZNN)
activated by Li function to kinematic control of redundant robot manipulators via time-varying …
activated by Li function to kinematic control of redundant robot manipulators via time-varying …
Zeroing dynamics method for motion control of industrial upper-limb exoskeleton system with minimal potential energy modulation
Z Li, W Zuo, S Li - Measurement, 2020 - Elsevier
Accurate motion control of industrial upper-limb exoskeleton can provide efficient assistance
for subjects to perform various industrial manipulation tasks. In most motion control …
for subjects to perform various industrial manipulation tasks. In most motion control …