A review on varying-parameter convergence differential neural network
Inspired by the nature of actual dynamics systems with time-varying parameters, varying-
parameter convergence differential neural network (termed as VP-CDNN) has been put …
parameter convergence differential neural network (termed as VP-CDNN) has been put …
Simultaneous obstacle avoidance and target tracking of multiple wheeled mobile robots with certified safety
Collision avoidance plays a major part in the control of the wheeled mobile robot (WMR).
Most existing collision-avoidance methods mainly focus on a single WMR and …
Most existing collision-avoidance methods mainly focus on a single WMR and …
Design, modeling, and kinematics analysis of a modular cable-driven manipulator
R Ju, D Zhang, J Xu, H Yuan… - Journal of …, 2022 - asmedigitalcollection.asme.org
Modular manipulators have broad application prospects in the field of narrow confined
space owing to their characteristics of superior dexterity. However, compared with traditional …
space owing to their characteristics of superior dexterity. However, compared with traditional …
A deep ensemble dynamic learning network for corona virus disease 2019 Diagnosis
Z Zhang, B Chen, Y Luo - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Corona virus disease 2019 is an extremely fatal pandemic around the world. Intelligently
recognizing X-ray chest radiography images for automatically identifying corona virus …
recognizing X-ray chest radiography images for automatically identifying corona virus …
A jump-gain integral recurrent neural network for solving noise-disturbed time-variant nonlinear inequality problems
Z Zhang, Y Song, L Zheng, Y Luo - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Nonlinear inequalities are widely used in science and engineering areas, attracting the
attention of many researchers. In this article, a novel jump-gain integral recurrent (JGIR) …
attention of many researchers. In this article, a novel jump-gain integral recurrent (JGIR) …
On generalized zeroing neural network under discrete and distributed time delays and its application to dynamic Lyapunov equation
Zeroing neural network (ZNN), an effective method for tracking solutions of dynamic
equations, has been developed and improved by various strategies, typically the application …
equations, has been developed and improved by various strategies, typically the application …
A Review and Comparative Study of Differential Evolution Algorithms in Solving Inverse Kinematics of Mobile Manipulator
M Li, L Qiao - Symmetry, 2023 - mdpi.com
Mobile manipulator robots have become important pieces of equipment due to the high
mobility of mobile subsystems and the high flexibility of manipulator subsystems …
mobility of mobile subsystems and the high flexibility of manipulator subsystems …
An FPGA-implemented antinoise fuzzy recurrent neural network for motion planning of redundant robot manipulators
Z Zhang, H He, X Deng - IEEE transactions on neural networks …, 2023 - ieeexplore.ieee.org
When a robot completes end-effector tasks, internal error noises always exist. To resist
internal error noises of robots, a novel fuzzy recurrent neural network (FRNN) is proposed …
internal error noises of robots, a novel fuzzy recurrent neural network (FRNN) is proposed …
A punishment mechanism-combined recurrent neural network to solve motion-planning problem of redundant robot manipulators
In order to make redundant robot manipulators (RRMs) track the complex time-varying
trajectory, the motion-planning problem of RRMs can be converted into a constrained time …
trajectory, the motion-planning problem of RRMs can be converted into a constrained time …
Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints
Redundant manipulators could be efficient tools in industrial production as a result of their
dexterity. However, existing kinematic control methods for redundant manipulators have two …
dexterity. However, existing kinematic control methods for redundant manipulators have two …