Novel adaptive zeroing neural dynamics schemes for temporally-varying linear equation handling applied to arm path following and target motion positioning
While the handling for temporally-varying linear equation (TVLE) has received extensive
attention, most methods focused on trading off the conflict between computational precision …
attention, most methods focused on trading off the conflict between computational precision …
Predefined-time robust adaptive gradient neural network for solving linear time-varying equations and its applications
D Yu, G Zhang, T Zhang - Expert Systems with Applications, 2024 - Elsevier
Adaptive gradient neural networks (AGNN) have been extensively employed as effective
models for addressing time-varying problems. However, the existing AGNN are convergent …
models for addressing time-varying problems. However, the existing AGNN are convergent …
Noise-tolerant zeroing neural network control for a novel compliant actuator in lower-limb exoskeletons
To enhance the safety of direct physical interaction between humans and lower-limb
exoskeletons, the actuator of the lower-limb exoskeleton should possess compliance, force …
exoskeletons, the actuator of the lower-limb exoskeleton should possess compliance, force …
Optimization of Robot Manipulator Configuration Calibration by Using Zhang Neural Network for Repetitive Motion
High precision and low complexity control algorithm plays an important role in the
developing of the end-effector instrumentation of different robot manipulators. In order to …
developing of the end-effector instrumentation of different robot manipulators. In order to …
Adaptive ZNN Model and Solvers for Tackling Temporally Variant Quadratic Program With Applications
As the zeroing neural network (ZNN) approach needs human intervention to handle
temporally variant quadratic program (TVQP) problem, which results in less flexibility and …
temporally variant quadratic program (TVQP) problem, which results in less flexibility and …
An Accelerated Approach on Adaptive Gradient Neural Network for Solving Time-Dependent Linear Equations: A State-Triggered Perspective
To improve the acceleration performance, a hybrid state-triggered discretization (HSTD) is
proposed for the adaptive gradient neural network (AGNN) for solving time-dependent linear …
proposed for the adaptive gradient neural network (AGNN) for solving time-dependent linear …
An adaptive discretized RNN algorithm for posture collaboration motion control of constrained dual-arm robots
Y Zhang, Y Han, B Qiu - Frontiers in Neurorobotics, 2024 - frontiersin.org
Although there are many studies on repetitive motion control of robots, few schemes and
algorithms involve posture collaboration motion control of constrained dual-arm robots in …
algorithms involve posture collaboration motion control of constrained dual-arm robots in …
A Microwave Radiometer Residual Inversion Neural Network Based on a Deadband Conditioning Model
Y Zhao, C Wu, P Wu, K Zhu, X Deng - Journal of Marine Science and …, 2023 - mdpi.com
Microwave radiometers are passive remote sensing devices that are widely used in marine
atmospheric observations. The accuracy of its inversion of temperature and humidity profiles …
atmospheric observations. The accuracy of its inversion of temperature and humidity profiles …