A survey on model-based distributed control and filtering for industrial cyber-physical systems
Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-
critical systems, in which lots of sensors and actuators are embedded and networked …
critical systems, in which lots of sensors and actuators are embedded and networked …
Obstacle avoidance and tracking control of redundant robotic manipulator: An RNN-based metaheuristic approach
In this article, we present a metaheuristic-based control framework, called beetle antennae
olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance …
olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance …
A new adaptive time-delay control scheme for cable-driven manipulators
Y Wang, F Yan, J Chen, F Ju… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes a new adaptive time-delay control (ATDC) scheme for cable-driven
manipulators. The proposed ATDC scheme contains three elements, ie, time-delay …
manipulators. The proposed ATDC scheme contains three elements, ie, time-delay …
A survey on projection neural networks and their applications
Constrained optimization problems arise in numerous scientific and engineering
applications, and many papers on the online solution of constrained optimization problems …
applications, and many papers on the online solution of constrained optimization problems …
RNN for repetitive motion generation of redundant robot manipulators: An orthogonal projection-based scheme
For the existing repetitive motion generation (RMG) schemes for kinematic control of
redundant manipulators, the position error always exists and fluctuates. This article gives an …
redundant manipulators, the position error always exists and fluctuates. This article gives an …
Neural dynamics for distributed collaborative control of manipulators with time delays
Time-delay phenomena extensively exist in practical systems, eg, multi-agent systems,
bringing negative impacts on their stabilities. This work analyzes a collaborative control …
bringing negative impacts on their stabilities. This work analyzes a collaborative control …
A noise-suppressing neural algorithm for solving the time-varying system of linear equations: A control-based approach
It has been found that there exists an essential similarity between solving equations and
controlling dynamic systems: Both errors are expected to decrease to zero (or an acceptably …
controlling dynamic systems: Both errors are expected to decrease to zero (or an acceptably …
[HTML][HTML] Three-dimensional dense reconstruction: A review of algorithms and datasets
Y Lee - Sensors, 2024 - mdpi.com
Three-dimensional dense reconstruction involves extracting the full shape and texture
details of three-dimensional objects from two-dimensional images. Although 3D …
details of three-dimensional objects from two-dimensional images. Although 3D …
A fault-tolerant method for motion planning of industrial redundant manipulator
Nowadays, industrial redundant manipulators have been playing important roles in
manufacturing fields, such as welding and assembling, by performing repetitive and dull …
manufacturing fields, such as welding and assembling, by performing repetitive and dull …
New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on Hessian matrix inversion
Nonlinear optimization problems with dynamical parameters are widely arising in many
practical scientific and engineering applications, and various computational models are …
practical scientific and engineering applications, and various computational models are …